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【Annual rental of 1.5 million yen including maintenance】Contributes to the efficiency of analysis work with high-speed processing by AI and easy GUI operation. *Presenting the "Thermal Fluid Analysis Case Collection"!

"AICFD" is software that achieves high-precision simulations while reducing the workload associated with thermal fluid analysis through an intuitively operable GUI and AI-assisted features. It addresses the challenges faced by users of conventional software, such as "complex mesh creation, difficult analysis settings, and slow computation speeds," allowing engineers to focus on their core tasks and streamlining the iterative process of product design. Additionally, it is equipped with predictive analysis for flow fields and dedicated modules for turbo machinery and electronic device cooling, strongly supporting applications across various fields such as automotive, electronics, industrial machinery, and marine. 【Features】 ■ High cost performance at an annual rental of 1.5 million yen (excluding tax) ■ Integrated GUI covering the entire analysis process ■ Incorporation of AI predictive models utilizing existing results ■ Mesh creation by AI, enabling analysis that does not rely on experience ■ Intelligent features that provide setting support in a Q&A format * We are currently offering a "Thermal Fluid Analysis Case Study Collection"! For more details, please refer to the materials or feel free to contact us.

• Thermo-fluid analysis software

Achieved a 5.01% performance improvement through optimization calculations! This result surpasses the 3.36% of competing software.

We would like to introduce a case study on the optimization of ship shapes using our intelligent optimization software "AIPOD." This software is designed to achieve maximum optimization efficiency. An optimization calculation was performed targeting six design variables, with the objective function being the minimum resistance coefficient and two constraint conditions, using 64 CFD cases. The optimization calculation with 64 cases achieved a performance improvement of 5.01%, surpassing the 3.36% of competing software. 【Case Overview】 ■ By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. ■ AIPOD quickly breaks through artificially created optimization barriers to reach the ideal optimal candidate solution. *For more details, please download the PDF or feel free to contact us.

• 3D CAD
• Thermo-fluid analysis
• Other analyses

The selection of a rational optimization strategy is particularly important! The model in question is the KCS hull form.

In ship shape optimization, considering the analysis time and computational resource costs for a single case, engineers need to find an optimal design solution with as few computational cases as possible. Therefore, the selection of a rational optimization strategy becomes particularly important. This article introduces ship optimization using the general-purpose optimization platform AIPOD. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• 3D CAD
• Thermo-fluid analysis
• Other analyses

Download the free collection of analysis case studies now!

This collection of analysis case studies includes numerous applications related to analysis methods and verification of results for thermal and fluid phenomena. It presents practical examples of analyses that are useful for design considerations, such as complex flow, temperature distribution, and heat transfer behavior, as well as cases utilizing AI.

• Thermo-fluid analysis

Download the free collection of optimization case studies now!

This collection of optimization case studies includes numerous examples of simulation-driven optimization in the fields of fluid, structure, and electromagnetic fields. It presents practical examples useful for design considerations, such as parametric optimization, surrogate optimization, process development, and initial design vs. optimal design.

• Structural Analysis
• Thermo-fluid analysis
• Other analyses

Improving the performance of centrifugal pumps! A case study applying general-purpose thermal fluid analysis software.

We would like to present a case study where the general-purpose thermal fluid analysis software "AICFD" was used to analyze the head and shaft power of a centrifugal pump, comparing the results with experimental values. The mesh model adopted an unstructured mesh with a total cell count of 1.2 million. When comparing the experimental values with the analysis results, a deviation of 1.70% was confirmed for both output (kW) and head (m). 【Analysis Conditions】 ■ Inlet Condition: 69.46 [L/s] ■ Outlet Condition: Static Pressure 0 [Pa] ■ Rotational Speed: 980 [RPM] ■ Turbulence Model: Standard k-epsilon *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Maintains high efficiency across the entire speed range of the vessel. Reduces cavitation, noise, and vibration.

The VOITH company's linear jet design, which is a challenging ship system characterized by complex shape features, combinations of multiple parts, and large-scale CFD calculation models, provides high customer satisfaction products by establishing and operating a fully automated design system using CAESES. The VOITH Linear Jet (VLJ) combines the simplicity of a propeller with the high-speed performance of a water jet. One of the most important challenges in the design of this product is to delay the occurrence of cavitation while maintaining high efficiency over a wide operating range. *For more detailed information, please refer to the related links. For more details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

The final structure reduced relative motion by 4% compared to the initial structure, resulting in material savings.

The support structure of the ocean platform must withstand the effects of waves over a long period and must have sufficient strength. By using CAESES, it is possible to optimize that structure and enhance its ability to withstand waves. This time, we conducted optimization of the ocean platform using CAESES. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

The total hull resistance obtained after parametric modeling, CFD analysis, and optimization processing was reduced by 2 to 3%.

CAESES's hull parametric modeling, when combined with CFD software, facilitates the study of hull shapes (reducing resistance) and enables the design to optimize hull performance. The hull shape, particularly the forward shape, has a significant impact on hull resistance, making shape optimization crucial. With CAESES, hulls can be easily parameterized, allowing for straightforward adjustments to the hull shape. By generating multiple shape patterns and combining them with analysis tools, designs can be optimized according to various optimization objectives. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

We developed an iterative design process to reduce fluid dynamic noise levels using the general-purpose tool STAR-CCM+.

The sources of self-noise generated during the operation of watercraft can be classified into three categories. Propeller noise is generated by cavitation that occurs as the rotational speed increases, resulting in noise from the screw. Hydrodynamic noise includes all noise sources arising from the movement of submarines underwater. Mechanical noise is the mechanical sound produced by engines, control equipment, auxiliary machinery, etc., installed on the submarine. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

We will carry out the optimal design of the internal layout of oil tankers, taking into account various uncertain factors.

In ships, especially large vessels, the size and position of the internal spaces of the hull are considered in the concept design phase during the early stages of design. In the case of oil tankers, the layout design of the internal hull is examined as an optimization problem to evaluate the overall performance throughout the operational period. The objective function during optimization becomes multi-faceted, including economic benefits, safety, and environmental pollution prevention, with one of the evaluation criteria being the bending moment that occurs in the hull in relation to cargo carrying capacity. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

The high efficiency of VRP achieves a reduction in fuel consumption and gas emissions during automatic vessel position keeping.

The radial propeller (hereinafter referred to as VRP) developed by the German machinery manufacturer VOITH combines a fixed-pitch azimuth thruster and a steering system into a single unit. This design principle is effective for machines that require high output and reliability, as well as precise dynamic displacement. Especially in harsh environments such as icy waters and deep seas, special vessels for assembling semi-submersible platforms, drilling ships, and wind turbines can use the VRP to arrive at their destinations quickly and safely, while ensuring they can maintain their stopping position reliably. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

The objective function of the first stage of optimization was set for five combinations of draft and speed regarding power consumption and hull weight at sea.

This time, we will introduce a case of optimization for bulk carriers by DNV GL, a European classification society. This case involves the optimization calculations for the hull and propeller of a bulk carrier. The hull in question is an Ultramax-sized hull called "Diamond 2." The optimization includes wave reduction, propulsion at the stern, twisting at the stern, and propeller design, with the shapes created using the CAD features of CAESES. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

In this case, we will introduce the optimization calculations for tidal power generation turbines.

There is a tidal power plant off the coast of France, consisting of four turbines with a capacity of 2 MW each, capable of supplying electricity to up to 4,000 households, making it a large-scale grid-connected tidal power facility. The advantages include minimal environmental impact and safety for marine life. The tidal power turbines are designed to operate at a depth of about 35 meters with a diameter of approximately 16 meters. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

To avoid excessive resistance, a streamlined additional shape was designed around the sponsons and integrated as part of the overall hull shape.

In the modified design of a self-elevating platform (SEP) vessel, a method is employed to reduce the pressure on the seabed by increasing the size of the spudcan (the legs of the jacking system). Additionally, to increase cargo capacity, the draft is increased, and sponsons (protrusions on the outside of the hull for improved stability) are added along the sides of the vessel. The upgraded spudcans and hull shape have a significant impact on the hydrodynamic characteristics. It is particularly noted that spudcans that are scaled up significantly in relation to the hull tend to show more pronounced effects. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

The blades used for calculations can be created using the "Generic Blade" feature of CAESES.

One of the advantages of CAESES is its optimization design through an automation system connected to CFD software. This article introduces the blade shape optimization of marine propellers using OpenFOAM and CAESES, which is currently in use. In CAESES, in addition to methods for designing parametric 2D and 3D models, it is also possible to connect with various external software. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• Other analyses
• Software (middle, driver, security, etc.)

In conducting shape optimization, CAESES was used for the creation of the parametric model and optimization calculations.

In the industry of operation, maintenance, and service for offshore wind power generation in Europe, which is expected to see significant growth in the future, fierce product competition is unfolding among companies. Related companies are pursuing "cost reduction of vessels," "high efficiency," and "high profitability" as much as possible to survive in the industry, advancing their design and development. The project introduced here involves the shape optimization of a SWATH vessel support ship with an innovative structure. *For detailed information, please refer to the related link. For more details, you can download the PDF or feel free to contact us.*

• Other measurement, recording and measuring instruments
• Other analyses

CAESES was utilized in various instances during the initial design phase of this large-scale project.

This article introduces the parametric design and optimization calculation system for hulls using CAESES. The role of CAESES in this instance is to evaluate design options for hull concepts and initial stages, with the background being a project promoting low-carbon maritime transportation. As part of this project, CAESES has been introduced for the design development of general cargo ships for the Republic of the Marshall Islands. *For more details, you can view the related links. For further information, please feel free to download the PDF or contact us.

• Other analyses
• Software (middle, driver, security, etc.)

Obtaining optimal candidate solutions through optimization calculations is an important step that marks the beginning of the concept in design development and the first step towards product improvement.

With the functional enhancements from the CAESES version upgrade and the development of external analysis software, optimization methods are not limited to a certain number and new methods are constantly being explored. There may be some who cannot envision the collaboration between optimization software like CAESES and the analysis software being used. Therefore, in this article, we will introduce two actual cases of ship shape optimization methods using CAESES. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

• Other analyses

Introducing methods to quickly and accurately predict the rotation speed of drills using machine learning.

In March 2024, China drilled a 10,000-meter oil well in the center of the Taklamakan Desert, making it the first of its kind in the country and the second in the world. It is difficult to ascend into the sky, and even more challenging to descend to the ground. For aerospace, an altitude of 10,000 meters is significant, but when it comes to going underground, 10,000 meters can be said to represent the limits of human technology. For every 100 meters dug into the ground, the temperature increases by about 2°C, and pressure also rises. At a depth of 10,000 meters, one would be exposed to temperatures exceeding 200°C and pressures exceeding 130 MPa. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other Software

A comparison was made between the temperature and pressure results obtained from AICFD and the reference results.

Using the general-purpose thermal fluid analysis software AICFD, we will analyze the pressure loss and cooling performance of the energy storage converter. We will conduct an analysis that includes a cooling fan, and check the internal flow field and the temperature conditions of the mounted IGBTs. The mesh model to be analyzed consists of 2 inlets and 3 outlets, with boundary conditions assigned. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Thermo-fluid analysis
• Thermo-fluid analysis software

This paper introduces efforts utilizing optimization algorithms in the design of unmanned aerial vehicles (UAVs), which have seen increasing demand in recent years.

UAVs are controlled by a wireless remote control device and an embedded program control device, and they are classified into various forms such as unmanned fixed-wing aircraft, unmanned vertical take-off and landing vehicles, unmanned airships, unmanned helicopters, and unmanned multi-rotor aircraft. Their applications are wide-ranging, including aerial photography, agriculture, disaster relief, infectious disease monitoring, mapping, journalism, and film and television production. For optimization, a fully parametric blade model targeting the wing shape of unmanned aerial vehicles is created, and by integrating automated design with CFD analysis, appropriate design proposals are identified. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Other analyses

Payloads, space exploration, and space travel are driving remarkable advancements in the aerospace field.

The Wright brothers first flew over a century ago, but now we live in an era where we can fly efficiently and affordably to the far corners of the world. In the future, it is expected that supersonic and hypersonic flights exceeding Mach 5 at altitudes above 90,000 feet will allow travel from the UK to Australia in just four hours, and this remarkable achievement could be realized within 20 years. Even more impressive is the development of spaceplanes that bridge the realms of air and space. *For more details, please refer to the related links. For further information, you can download the PDF or feel free to contact us.*

• Other analyses

Introduction to the optimization of axial flow compressor blades developed jointly by FRIENDSHIP Corporation and RRD Corporation.

Aircraft engine manufacturers are working daily on product development to meet the stringent demands of reducing exhaust emissions and fuel consumption. This effort requires further improvements in the design process to efficiently create aerodynamically superior compressor designs. In recent years, developing appropriate blade shapes that meet global design and performance requirements with high efficiency has necessitated numerous iterative calculations between different software tools for shape creation and fluid analysis. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses

Introduction to parametric modeling using CAD and optimization software CAESES.

This article introduces the air intake optimization of ramjet engines using AIPOD, our self-developed optimization platform. Ramjet engines are designed for air intake at Mach numbers of 3 and above, where the mixture flows in and the exit becomes subsonic, making it a type of jet engine. To accommodate different flight Mach numbers, a center cone called a spike can be moved forward and backward, and when the maximum flight Mach number of 3.5 is reached, the Mach line formed at the tapered vertex intersects exactly with the lip. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.

• Other analyses

The mesh model used has eight boundary layers created with TCAE's SnappyHexMesh.

Comprehensive engineering simulation software with unlimited licensing This article introduces CAA analysis of NACA airfoils using TCAE. This project focuses on the NACA 0012 airfoil BANCIIIc3 benchmark [1] (3D code: 0.4[m], span: 10%) and delves into the field of computational aeroacoustics (CAA). By adopting advanced techniques such as acoustic analogy and Ffowcs Williams-Hawkings, we explore unsteady simulations with a physical time of 1[s] through finite volume CFD simulations in a cell-centered framework. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

• Other analyses

Introduction to data-driven aircraft landing load prediction using data analysis and modeling software.

The descent rate of an aircraft during landing significantly exceeds the normal landing descent rate, resulting in excessive landing impact loads and a reduction in the strength margin of the landing gear and fuselage structure. Landing loads are related not only to mass but also to the pull from the rotor during the flight state at landing and the structure of the landing gear itself. Conventional methods for predicting aircraft landing loads require spending hours on dozens of simulations under operational conditions, making it impossible to quickly and accurately obtain design solutions that meet the requirements. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Other Software

The data used in this case consists of 500 sets of low fidelity and 100 sets of high fidelity.

Using the general-purpose data analysis and modeling software DTEmpower, we will conduct a data-driven strength evaluation of the reusable spacecraft wall structure. Reusable spacecraft are a crucial tool for enabling transportation between space and the ground, and the evaluation of the load-bearing capacity of wall structures, as typical load-bearing components, is significantly related to the overall safety performance of the spacecraft. However, traditional finite element methods often require over 100 minutes of computation time for a single buckling analysis of an enhanced cylindrical exterior, leading to high costs. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Other analyses

The analysis conditions adopt Mach number, angle of attack, and Reynolds number. A comparison of the wing surface pressure coefficient distribution is also conducted.

Using the general-purpose thermal fluid analysis software AICFD, we will conduct a transonic analysis of the M6 wing. The M6 wing is a classical test case for studying transonic flow and is a semi-infinite airfoil designed by the French aerospace research institute ONERA. The M6 wing exhibits typical transonic airfoil characteristics, such as shock waves that appear on the wing under specific conditions and expansion waves behind the shock waves. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Thermo-fluid analysis
• Other analyses
• Thermo-fluid analysis software

Evaluate the entire process from curing and cooling to transportation and storage, as well as discharge heating and cooling, using AIFEM.

This article introduces the reliability analysis of solid fuel rockets using the general-purpose finite element analysis software AIFEM. The formulation, molding process, materials, and manufacturing processes of the rocket's solid fuel propellant directly affect the engine's performance. By using AIFEM to comprehensively evaluate the performance state throughout the entire lifecycle of the propellant column—from curing and cooling to transportation, storage, and discharge heating and cooling—we can achieve a comprehensive reliability assessment solution. *For more details, please refer to the related links. For further information, feel free to download the PDF or contact us.

• Other analyses
• Other analysis software

By considering manufacturing constraints, it leads to obtaining an even more ideal shape.

Using the general-purpose finite element analysis software AIFEM, we will conduct topology optimization analysis of an aircraft engine turbine disk. Since a typical turbine disk is designed based on the engineer's experience, knowledge, and numerous tests, it can be time-consuming and costly, and it may be difficult to achieve an ideal design effect that breaks through existing design thinking. By utilizing AIFEM's topology optimization function, we will perform structural optimization of the turbine disk, taking into account the coupling of thermal loads and centrifugal forces, to obtain a better shape. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses
• Other analysis software

The analysis results were compared with reference values, and temperature, total pressure, and efficiency were evaluated.

Using the general-purpose thermal fluid analysis software AICFD, we will conduct a performance analysis of the Rotor37 compressor. Rotor37 is a classic case of CFD compressible fluid calculations and is often used to verify the software's performance in the flow problem around the blades of a transonic axial compressor. We will analyze the three-dimensional flow characteristics of the compressor rotor, focusing on rotating machinery with practical engineering backgrounds derived from research results by NASA. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us directly.*

• Thermo-fluid analysis

Mainly, CAESES is applied to generate robust parametric models.

The research and development project VIT-VI focuses on artificial intelligence (AI) technology and its application in the development of virtual and sustainable aircraft engines. The emphasis is on building and enhancing AI capabilities, as well as increasing the use of artificial intelligence technology to improve productivity in data and simulation-driven design. CAESES offers the potential to automate the design investigation and optimization process of shapes in complex flows. *For more detailed information, please refer to the related link. You can download the PDF for more details or feel free to contact us.*

• Other analyses

Elevate the efficiency and performance of fan design with precise flow field analysis!

This introduction discusses the flow field analysis of axial fans using the general-purpose intelligent thermal fluid analysis software AICFD. Flow field analysis is an important means of visualizing and predicting the complex movement of fluids inside the fan. Through flow field analysis, detailed information such as turbulence, pressure loss, and temperature distribution can be obtained, allowing for early detection of issues during the design phase and the implementation of improvements. After the simulation is completed, post-processing can be performed on the same GUI, enabling efficient result verification. In addition to basic visualizations such as distribution maps, vector diagrams, and streamlines, the built-in post-processing function "TurboPost" for turbo machinery allows for even more advanced visualization of analysis results. *For more details, please download the PDF or feel free to contact us.*

• fan
• Thermo-fluid analysis

The main objective of the contest was to design a propeller that could achieve maximum efficiency at a wide range of operating speeds.

In propeller design, achieving optimal efficiency and performance is extremely important. Recently, by effectively combining AI and CFD, we were able to win an online propeller design contest hosted by a popular YouTube creator. In this contest, we were able to create two high-performance propellers that demonstrated excellent efficiency using "CAESES" and "AirShaper." *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

• Image analysis software
• Structural Analysis

Conducted strength analysis using AIFEM! High strength performance is required for structures.

This article introduces the strength analysis of the steel structure of a transfer device used offshore, conducted using the general-purpose finite element analysis software AIFEM. The transfer device is used for transporting and moving large marine equipment, thus requiring high strength performance in its structure. Strength analysis was performed using AIFEM to identify the weak points of the structure under different working conditions. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

• Structural Analysis

Partial parametric modeling adopted! Deformation of the hull shape is defined.

One of the representative companies in China's shipping industry, MARIC (Marine Design & Research Institute of China), first utilized CAESES for a project focused on the optimization of hull shapes for container ships. In their research, MARIC engineers selected a baseline with excellent performance and attempted to reduce hull resistance at speeds of 18 knots and 27 knots. The constraints here were the length between perpendiculars, width, and draft, which were fixed values, while the variation in displacement was limited to ±0.5%. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

• Other analyses

Introducing the dimensional reduction function based on the drag optimization of KCS ships!

To optimize the hydrodynamic performance of the hull using the parametric modeling and optimization software CAESES, we first extract design variables related to the deformation of the hull's variable geometry. By increasing the number of design variables in this process, we can obtain a wider variety of deformation shapes, which in turn increases the likelihood of achieving better hull design proposals. However, the number of computational cases required for simulations (such as CFD analysis) increases exponentially (recommended number of cases S = 2^N, where N is the number of design variables), leading to significantly larger computational and time costs. To address this issue, CAESES5 offers a dimensionality reduction feature based on Principal Component Analysis (PCA) methods. *For more detailed information, please refer to the related links. For further details, feel free to download the PDF or contact us.*

• Other analyses

Accelerate the iterative process of optimization! Consider an alternative performance evaluation method that is not simulation-based.

Using the general-purpose data analysis and modeling software DTEmpower, we will introduce data modeling for hull resistance. When utilizing simulations in hull design, the time cost per case tends to be high, while the computational resources available are limited. Therefore, designers need to consider alternative performance evaluation methods that are not simulation-based in order to accelerate the optimization iterative process. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses

Utilize AIFEM's topology optimization feature! Consider multiple analysis steps and various working conditions.

Using the general-purpose finite element analysis software AIFEM, we will perform topology optimization of the hull web. The hull web not only plays a role in supporting the hull but is also an important structure that enhances the stability of the hull underwater. In the shipbuilding process, the hull web is generally manufactured using high-strength steel plates or aluminum plates, and it is necessary to ensure that cracks or deformations do not occur during navigation. Therefore, when optimizing the web plate for weight reduction, it is essential to consider the effects of multiple mechanical working conditions. With this objective, by utilizing the topology optimization function of AIFEM, it becomes possible to address topology optimization scenarios that take into account multiple analysis steps and various working conditions. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• simulator
• Other analyses

Introducing the problems so far, as well as future challenges, solutions, and application benefits!

Using the general-purpose data analysis and modeling software DTEmpower, we will implement data-driven design for hull lines. The design of hull lines is a crucial aspect of ship design, significantly impacting the technical performance and economic efficiency of vessels. Traditional ship shape design methods involve manual design, followed by a development process that includes CAD-assisted design and CFD-based technical evaluation. However, it has been believed that a more efficient and intelligent workflow can be established. By leveraging a data-driven intelligent design optimization platform, we can efficiently and quickly find the "appropriate" design targeting performance indicators. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Modeler
• Other analyses

Achieving innovative and suitable solutions! Introducing parametric models of unconventional propellers, among others.

In the maritime industry, the demand for improving energy efficiency and reducing emissions to meet environmental regulations continues to grow year by year. As a result, traditional propeller designs are insufficient to meet this demand, making unconventional designs, such as tip rake propellers, that can enhance energy efficiency and minimize environmental impact increasingly important. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Modeler
• Other analyses

Here is a brief introduction to the design of the propeller included with the foil board!

Do you all know about "efoil"? An efoil is an electric foil board that allows you to experience the sensation of flying above the water. Here, we will introduce some aspects of the propeller design that comes with the foil board, as discussed by a CAESES user with FRIENDSHIP SYSTEMS, the developer of CAESES. *You can view the detailed content of the article through the related links. For more information, please download the PDF or feel free to contact us.*

• Other analyses
• 3D Printer

It also offers high flexibility to try out new designs! Here are the main advantages.

This article introduces the use of CAESES in propeller blade design by Caterpillar Propulsion, a manufacturer of construction and mining machinery and industrial machinery. The overall idea behind FRIENDSHIP SYSTEMS, the developer of the CAD + optimization software CAESES, when implementing CAESES for Caterpillar Propulsion was to integrate and control all software used (mesh generation and simulation software) and to implement it as a kind of workbench. At this time, CAESES can provide 3D parametric blade design that allows engineers to improve existing blades and profile definitions, while also offering high flexibility to try out new designs. *For more detailed information, please refer to the related links. For more details, you can download the PDF or feel free to contact us.

• Other analyses

Introducing the creation of propeller models from existing data and the extraction of camber distribution and blade thickness distribution!

In propeller modeling, a similar design approach is often applied. Typically, the blades are constructed based on functions such as rake, skew, and pitch, along with the definition of the profile section. By adding parameters such as the number of blades and the propeller diameter, the final propeller model is created. CAESES is equipped with features and workflows for designing propeller CAD models quickly and flexibly, suitable for automatic shape optimization using CFD. This process can be divided into the following steps. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses

The AI prediction feature is one of the distinctive modules of AICFD! It solves the problem of an enormous number of analysis iterations.

In this case, we will simulate the resistance values of a submarine under specific conditions using the AI forecasting function (Intelligent Forecasting) equipped in AICFD. The AI forecasting function is one of the distinctive modules of AICFD, and it solves the problem of the enormous number of analysis iterations in industrial design simulations through real-time result predictions by AI. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

• simulator
• Other analyses

It is possible to flexibly control various parts related to hull characteristics!

We will introduce the parametric model of a twin-skeg vessel created by FRIENDSHIP SYSTEMS, the developer of the CAD + optimization software CAESES. In cases where the shape is symmetrical, only half of the hull is typically modeled. With CAESES, it is possible to robustly construct a model that incorporates the deformations anticipated by the user. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.

• Other CAD
• Other analyses

There are many considerations to achieve efficient ship design even in the early stages of design!

Many studies have been conducted on improving the efficiency of ships through the reduction of overall energy consumption. There are many considerations to achieve efficient ship design, starting with the optimization of the ship's operational profile (such as speed and load) and continuing into the early design stages. Among the representative methods are hull optimization and propeller optimization. Related to propellers, there is a device called the Propeller Boss Cap Fins (PBCF). *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• Other analyses

It is very important to approach optimization from the perspective of fluid dynamics! Introduction to EEXI and CII.

In pursuit of achieving carbon neutrality, the implementation of the existing ship energy efficiency index (EEXI) and the annual fuel consumption rating system (CII) will begin on January 1, 2023. This regulation will introduce new challenges in the operation of commercial vessels, requiring shipowners to evaluate and improve their vessels in accordance with regulatory requirements. To continue international navigation and trade activities as before, there are conditions such as obtaining certificates, making it very important to engage in optimization from a fluid dynamics perspective. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

• Other analyses
• Thermo-fluid analysis software

Introducing a unique design and development project focused on safety!

An electric hydrofoil board (efoil) is a type of water sport that adds propulsion to a foil board, utilizing the buoyancy of an underwater wing (foil). A foil board has a foil mounted on its underside, shaped like a surfboard, and when it exceeds a certain speed, the buoyancy lifts the board off the water's surface, allowing the rider to enjoy a state of floating with no resistance. In a typical foil board without a propulsion device, movement requires shifting the center of gravity (pumping) to gain speed, especially in the absence of wind. However, with the electric hydrofoil board in question, you can continue to move across the water simply by controlling the power of the jet propulsion. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Other analyses

Introduction to parameter control of script files and optimization execution during OpenFOAM integration!

This article focuses on the software connection in the shape optimization process using OpenFOAM and CAESES. The application targeted is a propeller blade, and the connection between external software and CAESES can be established quickly, allowing for the rapid initiation of automatic optimization and design considerations for the blade. The collaboration between CAESES and OpenFOAM has been utilized in various cases, and tutorials and sample files are available within CAESES. This collaborative system using open-source software is highly efficient and can greatly benefit from optimization calculations. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Image analysis software
• Other analyses

A method devised to understand design parameters from geometry for ship shape optimization!

In parametric modeling using CAESES, shape control is performed using the created model and the functions that serve as design parameters. However, there may be situations where the values of the design parameters are unknown, and there may be cases where one wishes to obtain design parameters from an already created model. The case introduced here is part of a project undertaken by a graduate student at Hamburg University of Technology. The method devised to determine design parameters from geometry for ship shape optimization is expected to be applicable in many other applications as well. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analyses

Introducing how much the annual CO2 emissions have been reduced by utilizing CAESES!

FRIENDSHIP SYSTEMS, the developer of CAESES, has contributed to the reduction of energy consumption and CO2 emissions not only through support for the improvement of turbo machinery and engine-related parts but also for vessels. This article will introduce the experiences in design and improvement for CO2 emission reduction and how much annual CO2 emissions have been reduced by utilizing CAESES. *For detailed content of the article, please refer to the related link. For more information, feel free to download the PDF or contact us.

• Modeler
• Other analyses

Using a porous media model! Create and evaluate the temperature distribution map on the model surface and the temperature distribution map of the central cross-section.

Battery packs are currently widely used in electric vehicles, smartphones, and energy storage technologies, and in such systems, improving the performance of battery packs often becomes the key to product enhancement. In this analysis, we will evaluate the heat dissipation and air cooling effects of a battery module for electric vehicles using a porous medium model instead of a heat sink, and assess the temperature results. As analysis conditions, we set the inlet flow velocity to 5 [m/s] and the outlet static pressure to 0 [Pa], applying the porous medium model to the fins of the heat sink. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

• Other analysis software

Simulating the flow around the vehicle body using the AI acceleration feature equipped in AICFD!

Simulating the flow around a vehicle and analyzing its aerodynamic characteristics is an important task for evaluating the impact of a car's shape and design on airflow. This provides various qualitative and quantitative information directly related to fuel efficiency, driving stability, and driver safety. In this analysis, which uses models of various scales from simple shapes to detailed models, information is derived through analysis to investigate the wide-ranging effects from design to manufacturing and driving performance, while considering computational time and machine leasing costs. In this analysis, we simulated the flow around the vehicle body using the AI acceleration feature integrated into AICFD. Additionally, we verified the effectiveness of the AI acceleration feature by comparing computational time and accuracy between the standard analysis and serial core using the same model. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

• Other analysis software

It is possible to efficiently obtain optimal candidate geometry that can be directly supplied to the downstream CAD design process!

At FRIENDSHIP SYSTEMS, the developer of the CAD and optimization software CAESES, automatic optimization calculations were performed based on the shape sensitivity calculated by Adjoint Flow Solvers. The open-source optimization toolkit Dakota, integrated into CAESES, provides optimization methods that can directly accept gradient information obtained by combining shape sensitivity with CAD model parameters as input data. Based on this information, the algorithm selects parameters for design candidates created by CAESES, and calculations are performed using Adjoint Flow Solvers. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

The advantages of simulation include reproducibility, short cycles, low cost, and comprehensive and rich flow field analysis capabilities!

With the development of the automotive industry and the increasing speed of vehicles, there is growing attention on the aerodynamics of automobiles. Excellent aerodynamic design not only achieves high efficiency and energy savings but also reduces noise and provides better ride comfort, driving performance, stability, and stronger security guarantees. In recent years, it has become an essential element not only in the aerospace field but also in various modern industrial designs. In this case study, we analyzed the aerodynamics of automobiles using a passenger car model and evaluated the underlying pressure distribution and flow vectors. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

Introducing the parametric model of the rear wing created using CAESES' special CAD features!

The developer of CAESES, FRIENDSHIP SYSTEMS, previously worked on optimizing F1 rear wings. Since the CFD analysis was based on the entire vehicle, it was necessary to import the entire vehicle geometry into CAESES and replace only the initial shape of the rear wing with a parametric model. This case study introduces the parametric model of the rear wing created using CAESES' special CAD features. *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

• Other analysis software

Introducing representative results that visualize the characteristics of turbulence (vorticity magnitude)!

In 2015, VW introduced a device called an airflow transformer aimed at improving emissions, which was installed in a significant number of diesel engines on the market. FRIENDSHIP SYSTEMS, the developer of CAESES, found this device interesting as a subject for optimization and conducted modeling and simulation. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

Implement shape deformation on the injector nozzle using the morphing function!

One of the components targeted for optimization in diesel engines is the injector. This component is designed with careful consideration of its orientation and dimensions to ensure that fuel is injected appropriately into the combustion chamber, making it highly refined. In this case, we will introduce a method for rapidly deforming the existing nozzle shape of the fuel injection system. Based on the shape data imported into CAESES in STL format, we will use the morphing function to implement shape deformation on the injector nozzle. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

• Other analysis software

Introducing the design of intake ports using CAESES and automatic optimization in collaboration with CFD analysis tools!

The intake port is the final part of the engine's air intake system, connecting the intake manifold to the combustion chamber, and is opened and closed by the intake valve. Intake ports exist in various types of engines, but they have a particularly significant impact on the formation of the air/fuel mixture in gasoline (SI) engines. In diesel engines, the piston bowl also plays a role in this. Furthermore, the shape of the port affects the charge motion, and a favorable vortex shape reduces energy dissipation, influences the amount of air entering the combustion chamber, and an increase in air quantity leads to improved engine performance. In this case, we will introduce the design of the intake port using CAESES and the automatic optimization in collaboration with CFD analysis tools. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

Utilizing CAESES for the optimization of the rear wing shape attached to racing cars!

FRIENDSHIP SYSTEMS, the developer of CAESES, has actively supported student racing teams such as FaSTTUBe and the Ryerson Formula Racing Team. Among these, CAESES was utilized for the optimization of the rear wing shape of racing cars in the Formula Student Germany (FSG) contest, which gathers students from all over Germany. This case study will introduce the optimization of the rear wing and its results. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Other analysis software

A system for automatic optimization has been built using CAESES and commercial CFD analysis tools, resulting in significant improvements to the tire tread pattern!

The development of advanced automotive systems such as electric vehicles, autonomous driving systems, and safety enhancement systems will significantly increase the number of electronic devices added to the vehicle body, including sensors, radars, and cameras. It is crucial for these devices to function reliably while minimizing exposure to water to prevent damage and corrosion. One effective approach to achieve this is to reduce water splashes on the vehicle's body and underbody. This case study introduces simulation-driven optimization to investigate the impact of tire tread patterns on water splashes. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

• Other analysis software

Supporting development design operations! Introducing features that can be effectively utilized.

The optimization calculation software CAESES and the thermal fluid analysis software CONVERGE work together as a collaborative optimization system aimed at shape optimization and investigating the effects of design variables, providing support to engineers in the design and development field. In this article, we will introduce the functions that can be effectively utilized in CAESES when collaborating with CONVERGE, using intake port models and piston models. *For detailed content of the article, please refer to the related links. For more information, feel free to download the PDF or contact us.

• Other analysis software

The parametric model is created in CAESES, and the adjoint solutions obtained from the commercial CFD tool are mapped to the design variables!

In this case study, we conducted optimization regarding the drag and downforce (negative lift generated by a moving vehicle) of a sports car's rear wing. For this optimization, a parametric model of the rear wing was created using CAESES, and the adjoint solutions obtained from a commercial CFD tool were mapped to the design variables. *For more details, you can view the related links. Please feel free to download the PDF or contact us for more information.*

• Other analysis software

CAESES provides beneficial results across various fields, regardless of the products in question!

A torque converter for automobiles is a type of fluid coupling used in vehicles equipped with automatic transmissions to transmit rotational force from the engine to the drive shaft. Designers of torque converters work to minimize cavitation within the device and ensure good flow behavior of the transmission oil, aiming to maximize efficiency and torque ratio at high speeds. CAESES enables the modeling of such complex shapes and can build an optimization system that incorporates shape data into analysis software. By connecting CFD analysis software and proprietary CFD codes to CAESES, it analyzes flow behavior for each designed shape during optimization calculations and provides users with the optimal shape based on constraints. *For more detailed information, please refer to the related links. For further details, feel free to download the PDF or contact us.*

• Other analysis software

In the development of engine combustion processes, 3D CFD analysis is an important tool!

Diesel engines need to focus on reducing fuel consumption while maintaining high performance standards. From this perspective, direct-injection turbo diesel engines are one attractive solution, and when developing these engines, reducing fuel consumption and maintaining high performance standards, along with reducing exhaust emissions, become important challenges. Both issues of fuel consumption and emissions can be addressed through mechanisms within the engine. In the development of the engine combustion process, 3D CFD analysis is an important tool that allows for the investigation of flow within the cylinder, the formation and combustion of the internal mixture, as well as the formation of exhaust products. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

Parametrize the fin shape and arrangement of the heat sink to build a model that can flexibly evaluate various design patterns!

With the improvement in electric vehicle performance, the high output of batteries has progressed, and the increase in power consumption has also led to an increase in heat generation. Therefore, to ensure stable operation of the battery and maximize its performance, the design of an efficient cooling structure is essential. In particular, temperature management of the battery pack is directly related to the lifespan and safety of the cells, necessitating the design of an optimal heat dissipation mechanism. In this case study, we focused on a finned heat sink structure and conducted optimization aimed at improving thermal exchange efficiency. *For more details, please refer to the related links. For further information, you can download the PDF or feel free to contact us.*

• Other analysis software

Optimization aimed at minimizing the maximum temperature based on a flexible parametric model has been implemented!

In electric vehicles, the motor is a crucial power component responsible for driving the vehicle, and appropriate thermal management is essential to maintain its performance and durability. In particular, the cooling system plays an important role in efficiently dissipating heat from inside the motor and ensuring stable operation. In optimizing the thermal design of the motor, it is necessary to study appropriate cooling effects through various design patterns to maximize cooling performance. During the optimization process, design parameters such as the number and diameter of flow paths, the inclination angle and arrangement of end windings become important factors. Furthermore, to enhance cooling efficiency, careful attention must also be paid to flow control and temperature management of the end windings. In this case study, optimization aimed at minimizing the maximum temperature was conducted based on a flexible parametric model. The motor, composed of a stator and rotor, defines design variables that allow for various shape changes, leading to the derivation of appropriate flow path patterns. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

The parametric model created with CAESES can robustly output various complex shapes for use in optimization calculations!

The battery is one of the most important components in electric vehicles (EVs), and its performance and lifespan have a significant impact on the vehicle's driving range, safety, and even energy efficiency. In particular, the operating temperature of the battery is directly related to the charging and discharging efficiency and degradation rate, making proper temperature management essential. If the temperature is not adequately controlled, issues such as accelerated degradation due to overheating, reduced safety, or, conversely, decreased output and charging efficiency in low-temperature environments may arise. Therefore, the thermal design of the battery pack is a crucial factor in maximizing the performance of EVs and ensuring long-term durability. In this case study, we constructed a parametric battery model with flexible deformation and conducted optimization calculations aimed at minimizing the maximum temperature. *For more details, please refer to the related links. For further information, feel free to download the PDF or contact us.*

• Other analysis software

Quickly obtain optimal designs by effectively utilizing simulation-driven optimization calculations!

The exhaust pipe installed in a vehicle plays an important role in efficiently processing the engine's exhaust gases. The performance regarding the flow of exhaust gases is directly linked to the overall exhaust efficiency and environmental performance of the vehicle, and particularly, pressure loss and flow uniformity are essential factors in maintaining the optimal function of the exhaust system. By improving these characteristics, it is possible to contribute to enhanced engine performance, improved fuel efficiency, and reduced exhaust emissions. In this case, we improved performance by optimizing the shape of the exhaust pipe using the automatic optimization feature, one of the powerful design support functions of CAESES. *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

• Other analysis software

The optimization calculation based on AIPOD resulted in a 4.69% reduction in mass!

In this analysis, we will build an automated simulation process for the battery pack and perform optimization with the goal of mass minimization. The software interface provided by AIPOD makes the process setup very simple. For the optimization, the thickness of 36 plates in the battery pack was given as design variables. The optimization goal is mass minimization, but the model's frequency, maximum plastic strain, and maximum RMS stress will be set as constraints. *For more detailed information, please refer to the related links. Feel free to contact us for more details.*

• Other analysis software

Evaluated the temperature distribution of the water-cooled plate and model surface!

This analysis focuses on a battery pack for electric vehicles that uses a water-cooled cooling plate, and it analyzes the temperature distribution of the battery pack. The mesh model employs an unstructured mesh, with a total of 2.17 million cells. *For detailed content of the article, please refer to the related link. For more information, you can download the PDF or feel free to contact us.*

• Other analysis software

Explanation of the temperature distribution on the model surface and the temperature distribution in the central cross-section using diagrams!

This analysis conducts a cooling analysis of the motors used in electric vehicles and verifies the temperature around the coils, which are the heat sources within the motor. The following conditions are set for the analysis. *For detailed information, please refer to the related link. For more details, you can download the PDF or feel free to contact us.*

• Other analysis software

Under conditions with little change in average torque, torque ripple is reduced by 10%!

This article introduces the optimization of the electromagnetic and noise performance of motors using the general-purpose optimization software AIPOD. The main source of vibration and noise in motors is the electromagnetic force that changes over time and space with the stator. To reduce the motor's vibration noise, it is key to weaken the amplitude of the corresponding order of the electromagnetic force. Through the software interface standardly equipped with AIPOD, external software's input and output variables can be seamlessly connected, allowing for rapid optimization of motor noise design. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

Improved the first natural frequency from 701.5Hz to 1224.6Hz without breaking the outline boundary of the base model!

The base model of the oil pan, which is the subject of optimization, was considered to have a primary natural frequency lower than the initially assumed requirements, resulting in poor NVH performance. In this case, we aim to improve the primary natural frequency of the oil pan through structural optimization. Assuming that the contour boundary of the base model remains unchanged, a partial parametric model will be created using external CAD software and incorporated into the node-based optimization process constructed in AIPOD. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

Explanation of the geometry settings for turbo ducts and model variations!

When designing high-performance engines in the field of motorsports, it is necessary to pay attention to complex duct shapes, intake manifolds, and other uniquely shaped components. To increase the engine's horsepower, it is essential to find the appropriate shapes for these configurations. For example, advanced designs like high-flow turbo ducts can significantly accelerate the entire process through flexible and variable CAD shapes. By using a series of design variables, shape deformation can be performed through automated optimization strategies, allowing for the minimization or achievement of objective functions (such as pressure loss and desired flow characteristics like uniformity). At the same time, it is important to ensure that these do not violate constraints related to the designated space. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Other analysis software

Compare the maximum displacements of the analysis results and reference values, and also conduct a verification of the analysis accuracy!

The resistance to twisting and bending of the vehicle body are important indicators for evaluating the comfort, handling, and safety of the car. This analysis was conducted using high-performance computing servers to perform a static analysis of the automobile body with millions of elements, investigating the torsional and bending resistance. *For more detailed information, you can view it through the related link. For further details, please download the PDF or feel free to contact us.*

• Other analysis software

AIPOD is equipped with a direct interface, allowing for flexible process construction!

Using the general-purpose optimization platform AIPOD, we will optimize the battery pack beam structure. By linking software that plays the roles of modeling, meshing, and simulation within AIPOD, we will optimize the battery pack structure used in automobiles and achieve weight reduction of the beam structure. External software is used for modeling, meshing, and simulation, and the optimization process will be built within AIPOD. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.

• Other analysis software

Optimization of the duct of the catalytic converter using CAESES!

Designing engine components for automobiles often involves considering many constraints, making it a challenging task within development design work. One example is the duct located just before the catalytic converter. Due to space constraints, this component is often designed to be bent quite sharply, which makes it difficult to ensure that the flow distribution is sufficiently uniform. In other words, if the flow characteristics of the catalytic converter are poor, there is a possibility that performance will decrease and emissions will increase. In this case, optimization of the duct for the catalytic converter will be performed using CAESES. *For more details, please refer to the related links. For further information, feel free to download the PDF or contact us.*

• Other analysis software

Under the restriction of a pressure loss dp of less than 25 kPa for the water-cooled plate, the temperature difference across the section is reduced by 13.403%!

Using the general-purpose optimization software AIPOD, we will optimize the performance of the water cooling plate for battery packs used in new energy vehicles. Under unsteady low-temperature heating conditions and steady flow resistance conditions, when the minimum temperature of the cross-section rises by 5°C, the temperature difference in the Z-direction of the battery cell's 1/2 cross-section decreases, but the pressure loss in the flow path must be less than 25 kPa. The water cooling plate model used here is created with the parametric modeling software CAESES, and only the flow path area inside the water cooling plate will be the target for optimization, while other components and conditions will remain unchanged. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.

• Other analysis software

Predict the flow field and maximum velocity when the airflow velocity at the air conditioning outlet (inlet) is 2 m/s!

The comfort inside the vehicle is influenced by many factors based on environmental conditions such as the temperature of the airflow and the flow of air from the air conditioning. To create a more comfortable space for the people present, starting with the vehicle's air conditioning, it is necessary to evaluate the repeated design of the air conditioning vents and the thermal comfort and energy efficiency of the interior under various conditions at the conceptual design stage. This requires understanding the indoor conditions through simulations and pre-validation through numerous parameter studies, making the prediction of flow fields under specific conditions using AI technology effective. In this analysis, we evaluated the flow field and maximum velocity under specific conditions using the AI prediction function incorporated in AICFD. We also compared the results with those from conventional analyses to verify the effectiveness of the AI prediction function. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

It is possible to thoroughly explore the optimal solution in the specified space based on the input requirements of the motor!

Using the general-purpose optimization platform AIPOD, we will optimize the performance of motors used in new energy vehicles. The performance of the motor is a crucial consideration that directly relates to the driving performance of electric vehicles and similar technologies, and improving output and efficiency is essential for the development of better automobiles. AIPOD is equipped with an interface that allows for easy connection to Motor-CAD, enabling users to easily construct processes within the software. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

In AIFEM, you can easily check and evaluate local maxima and more!

The rigidity and strength of the door directly affect its reliability and also impact the airtightness of the passenger compartment. Therefore, it is important to analyze the structure and strength of the door to evaluate whether the maximum values of deformation and stress in specific directions are below the allowable limits. At the same time, the analysis of door sagging is also used to consider cost and lightweight design planning. This analysis is performed on a car door model to evaluate the stress applied to the door. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

By checking the state of the velocity field, we can evaluate what kind of flow is occurring internally!

The intake port is a crucial component of the intake system in automotive engines and has a significant impact on the mixing of air and fuel. In the early stages of design, the intake volume and pressure loss are evaluated in advance using CFD analysis to optimize the design. In this case study, the pressure loss of the intake port will be analyzed based on the conditions of inlet total pressure and outlet static pressure, and accuracy verification will be conducted by comparing the results with reference values. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.

• Other analysis software

Optimization calculations are conducted in the design space using the optimization algorithm SilverBullet installed in AIPOD!

Using the general-purpose optimization platform AIPOD, we will implement the pin layout optimization for heat sinks used for IGBTs in electric systems of new energy vehicles. Heat sinks are components that receive heat from a heat source and release it to the outside air. For this purpose, it is ideal for them to have a shape that maximizes surface area in accordance with constraints. Therefore, optimizing heat sinks is an important factor for the stable performance of electronic components and their long-term operation. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

The analysis results visualize the static pressure distribution on the model surface, allowing for an understanding of pressure fluctuations!

This analysis examines the drag and pressure distribution that occurs on the body of a large truck under specific conditions. Under the condition where air flows at a speed of 20 [m/s] from the inlet boundary, we will evaluate the impact on the truck's body. By using simulations to confirm the drag coefficient and the state of the flow field, we can obtain information that leads to improved fuel efficiency by understanding the airflow and resistance around the truck. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

By comparing the results of strength analysis and eigenvalue analysis with reference results, the verification of AIFEM's analysis accuracy is also conducted simultaneously!

The rear floor of the vehicle is influenced by both the static load of the tires and the dynamic load from the road surface. Verifying the deformation and stress distribution of the floor plays an important role not only in improving the safety performance of the vehicle but also in leading to proposals for new structural designs. In this analysis, we will conduct structural strength and eigenvalue analysis of the vehicle floor to investigate its structural performance. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other analysis software

The error in pressure loss is about 2%, demonstrating that the computational capability of AICFD is effective!

The pressure loss in the intake manifold and the uniformity of the flow rates in each pipe are important factors for the engine's output and performance. In this analysis, we will examine the flow inside the manifold of a 4-cylinder automotive engine, as well as the pressure loss and flow velocity distribution in the branch pipes. *For detailed content of the article, please refer to the related links. For more information, you can download the PDF or feel free to contact us.*

• Other analysis software

Introducing fast prediction of temperature fields using data analysis based on the issues in the development and design of fuel cells!

Fuel cells are devices that directly convert the chemical energy of fuel into electrical energy and are expected to be the fourth generation of power generation technology, following hydro, thermal, and nuclear power. This electrochemical energy can supply the direct current power needed for external loads, and fuel cells do not emit nitrogen oxides or sulfur oxides. They have high power generation efficiency, a wide range of fuel options, low environmental pollution, and high reliability. In this case study, we will introduce rapid temperature field prediction using data analysis based on issues in the development and design of fuel cells. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Other analysis software

Conducted heat dissipation simulation of air-cooled motors using AICFD and performed validation of the analysis results!

In the modern industrial sector, motors are utilized as essential power sources across various industries. To maintain the normal operation of motors, it is crucial to prevent overheating, and in the case of air-cooled motors, appropriate heat dissipation design is directly linked to reliability and performance. The thermal fluid analysis software AICFD addresses such challenges and provides a tool for achieving proper thermal design with easy operability and efficient data acquisition. In this article, we conducted a heat dissipation simulation for air-cooled motors using AICFD and validated the analysis results. *For detailed content of the article, please refer to the related links. For more information, feel free to download the PDF or contact us.*

• Other analysis software

Enabling optimization calculations of parametric models through automated processes!

In this case, we will introduce the shape optimization of gas turbine fixed blades, including end wall contouring, which is a joint project with SIEMENS. An efficient workflow using CAESES can provide significant support for design development. The gas turbine, which is the application in this instance, is a type of internal combustion engine used for driving generators, among other purposes. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.

• Turbine

CAESES can perform optimization calculations and support users in their design tasks!

In this case, we will introduce the optimization calculations for vertical axis wind turbines. FRIENDSHIP SYSTEMS, the developer of the optimization design system CAESES, investigated the aerodynamic behavior of vertical axis wind turbines using the mesh generation software Pointwise. As a first initiative, FRIENDSHIP SYSTEMS connected the automatic mesh generation by Pointwise with CAESES and executed a method to optimize vertical axis wind turbines in 2D using various tools, including analysis software. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• Turbine

This article explains the design system based on the collaboration between the CFD solver SimericsMP and CAESES, based on actual research conducted!

The Italian company OMIQ SRL, which sells software, conducted research on an automatic design system using the poppet valve of high-pressure pumps developed by the Danish machinery manufacturer Danfoss. In this case, we will introduce the design system that integrates the CFD solver SimericsMP with CAESES based on the research that was actually conducted. The issue in this case is that the poppet valve exhibits unacceptable unstable behavior during operation. It was found that when the poppet valve attempts to open to its maximum displacement (27.5 mm), the instability of the flow increases, resulting in a decrease in pressure on the poppet valve, ultimately preventing the valve from fully opening (closing to about 6 mm remaining). This unstable phenomenon was verified through unsteady analysis using SimericsMP. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

• valve

Equipped with a function to raise the impeller inlet head by a sufficient amount to prevent excessive cavitation generation!

The turbo pump is an important component in the design of launch rockets for space using liquid fuel. It is a component that supplies the necessary fuel flow to achieve a large thrust while maintaining a high combustion chamber pressure, and it is used in rocket engine supply systems. Due to the need for high-precision performance predictions of turbo pumps for launch rockets, as well as designs based on these predictions, resulting from the significant reduction in total rocket engine weight, the very high rotational speed of the turbo pump, and the specifications of the pump in relation to the degree of depressurization in the liquid fuel storage tank, the goal is to maximize total reliability throughout the operational lifecycle. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other pumps

By improving wheel design, it is possible to reduce total resistance by more than 3%!

The aerodynamic optimization effects on bicycle wheels can lead to dramatic performance improvements. In cycling, it is known that air resistance is the main cause of losses, with 70% to 90% of total losses in road racing on paved roads attributed to aerodynamic drag. Therefore, improving aerodynamic performance is one of the important factors considered by competitors when purchasing new equipment. The lateral forces exerted by strong crosswinds and the moments around the yaw angle are important when selecting equipment, and users may prefer larger rim shapes due to the significant buffeting effect, leading some to choose shallower wheels. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• wheel

When the minimum curvature radius is approximately 2.5mm, it is possible to prevent plastic deformation of the steel belt!

Predicting transitional boundary layers under arbitrary conditions in fluid mechanics is a very challenging task. A research group at Karlsruhe Institute of Technology conducted tests for predicting transitional boundary layers considering the effects of pressure gradients, mainstream turbulence, and surface roughness, using CAESES and the open-source OpenFOAM for suitable leading-edge shape optimization. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• others

Introducing a design case of a supercritical carbon dioxide axial flow turbine for waste heat recovery (WHR) in a 10MW class power plant!

In conventional thermal and nuclear power plants, steam and combustion gases are used as working fluids to drive turbines and generate electricity. In this case, we will introduce a design method for axial flow turbines using supercritical carbon dioxide (sCO2) as the working fluid, which reaches a supercritical state under relatively mild conditions using CAESES. The supercritical state exhibits properties that are intermediate between gas and liquid, and due to its high density and heat capacity, it has the potential to improve cycle efficiency compared to using gases below the critical point. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Turbine

The procedure explored using CAESES achieved a reduction in working time from several months to several days!

The optimization of valve design is one of many optimization targets, and by appropriately automating the design change process using CAESES and analyzing the number of implementation cases generated by the CFD solver, it is possible to significantly shorten the time to commercialization while exploring truly suitable designs under constraints. A valve is a device that opens, closes, or partially obstructs various passages to control, direct, or adjust the flow of fluid. In an open valve, fluid flows from high pressure to low pressure. Typically, the main objective of valve optimization is to adjust the flow rate passing through the valve at a specified pressure loss. This is often expressed as a flow coefficient, which serves as a relative measure of flow efficiency. *For more detailed information, please refer to the related links. For more details, you can download the PDF or feel free to contact us.*

• valve

The actual data of the Francis turbine was measured at the FORTUNAII hydroelectric power station in Minas Gerais, Brazil!

This project report is a collaboration with Hidroenergia, a water turbine manufacturer, and involved the verification of CFD simulations for Francis turbines using TCFD software. In this project, tests were conducted on existing turbines, and as a result of comparing the test data with the simulation data, the turbine efficiency and power values obtained from the TCFD software matched very well. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• others

Execute tasks such as setting up the blade model and generating individual dynamic 2D drawings!

Caterpillar Propulsion has implemented CAESES for the design of propeller blades. When we started on a project basis, the overall idea was to implement it as a workbench that integrates and controls mesh generation and simulation software. At the same time, CAESES needs to provide a fully parametric 3D blade design that allows Caterpillar Propulsion's engineers to reconstruct the definitions of existing blades and profiles, while also requiring high flexibility to try out entirely new designs. *For more details, please refer to the related link. For further information, you can download the PDF or feel free to contact us.*

• Mechanical Design

CAESES enables rapid evaluation of all ideas in the optimization process!

The design of axial flow fans generally needs to consider not only efficiency but also noise reduction. Reducing noise in axial flow fans is a rather complex and difficult issue when considering details, but there are some simple geometric methods that can lower fan noise in standard blade designs. The parametric modeling and optimization software CAESES provides a modeling toolbox for implementing various types of shapes and methods, automating the generation of blade geometry in simulation-driven optimization loops. This case study introduces improvements in noise levels and overall acoustic characteristics of axial flow fans utilizing CAESES. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• fan

The results obtained show that the mixing time is 10% to 20% shorter than that of a standard industrial mixer!

The mixer is a widely used device, and its size and shape vary depending on the working environment. The parametric modeling in CAESES makes it easy to adjust its performance and enables optimization. By modeling in CAESES, structural changes can be adjusted by parameters, allowing for the easy acquisition of mixers suitable for various working environments. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

• Mixer

By constructing a parametric model, it is also possible to optimize the entire compressor model!

Centrifugal compressors are compact yet feature a high pressure ratio, and they are widely used in systems in the fields of aircraft and marine vessels. Impeller design is a crucial design aspect of centrifugal compressors and has a significant impact on compressor performance. In this case, we conducted automatic performance optimization using CAESES combined with CFD tools on an existing centrifugal compressor impeller model. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Centrifugal concentrator

It is now possible to automatically optimize the cooling structure and cooling performance in conjunction with changes to the blade shape!

The blades used in aircraft engines and gas turbines become very hot, so cooling air is supplied to the countless holes on the blade surface through cooling passages provided inside the blades. In conventional design methods, automatic optimization was considered difficult due to the complexity of shapes, robustness of mesh generation, and computation time. However, this case presents an example of fully automated optimization using CAESES. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Cooling system
• Turbine

For shape creation, we use CAESES, and for mesh model creation and CFD analysis, we use products from NUMECA!

At the Technical University of Darmstadt in Germany (Institute of Gas Turbines and Aerospace Propulsion), research was conducted on the automatic optimization of the volute of centrifugal compressors and vane diffusers. This project was carried out in collaboration with NUMECA, a German company, and Kompressorenbau Bannewitz GmbH (KBB), a turbo machinery manufacturer. CAESES was used for shape creation, while NUMECA's products were utilized for mesh model creation and CFD analysis. In CAESES, a parametric model was created that allowed for variations in the cross-sectional shape and area distribution of the volute. For the diffuser, a non-axisymmetric design was implemented, enabling quick shape transformations by varying the misalignment angle, blade twist, chord length, pitch, and rotation through a parametric model. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

• Structural Analysis
• Other analysis software

Introducing the parametric model of the pump model and the evaluation of H-Q (Head-Flow) and T-Q (Torque-Flow)!

This article introduces the research and development of a ventricular assist device conducted by researchers at the Penn State College of Medicine using CAESES and CONVERGE. The goal of this research is to reduce the risk of adverse events such as hemolysis, degradation of von Willebrand factor, and thrombosis while minimizing the size of the pumps used in artificial hearts. To efficiently create a wide range of pump designs, CAESES has parameterized the flow path shape of the pump. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

• Structural Analysis
• Other Pumps
• Other analysis software

The goal of the optimization calculation is to maximize fan efficiency at specific flow rates and increase airflow!

In this case, we will introduce the automatic optimization workflow for axial fan rotor blades developed by CFDSupport, the creator of TCAE, and FRIENDSHIP SYSTEMS, the creator of CAESES. The project began in response to requests from designers and manufacturers who have basic designs for axial fans and wish to improve existing products into more optimal shapes. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

• fan
• Structural Analysis
• Other analysis software

Providing the right products to customers! Introducing the benefits and applications of CAESES at Parrot.

The French company Parrot, which specializes in the design and development of drones, uses CAESES for the design of drone propellers. The reason Parrot's engineers, who are experts in the drone market, adopted CAESES is to speed up the design process and provide customers with even more suitable products. Here, we will introduce the benefits and applications of CAESES at Parrot. *For detailed information, you can view the related links. For more details, please download the PDF or feel free to contact us.*

• Structural Analysis
• Software (middle, driver, security, etc.)

Focus on the slat section of the turbine blade and perform optimization calculations!

The project being introduced this time is "Aerodynamic Optimization of Wind Turbine Blades." The turbine blades of SUZLON, a wind power company in India, underwent aerodynamic optimization using the optimization software CAESES. The goal of this project is to improve the annual energy production (AEP) of wind power through the optimization of turbine blades. *For more details, you can view the related links. For further information, please feel free to download the PDF or contact us.

• Structural Analysis
• Turbine

The purpose is to improve and investigate the performance of globe valves, connecting the cloud-based CFD solver SimScale with CAESES!

CAESES has been conducting optimization calculations for various types of valves and has implemented projects in collaboration with various companies. In this context, we would like to introduce one of the newly conducted projects, "Shape Optimization of a Globe Valve." This project was carried out in cooperation with GEMÜ Gebr. Müller Apparatebau, a German valve manufacturer and a global company specializing in aseptic valves, and SimScale, a leading engineering simulation company. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

• valve
• Other CAD
• Structural Analysis

Introducing the creation of parametric cross-sectional shapes, as well as the camber and thickness of blades!

In the shape optimization of water pumps with shrouded impellers, it is important to have an efficient parametric model with numerous design variables. This time, we will introduce the design/modeling of water pumps, which have many shape variations and a high degree of freedom for fine-tuning. With the optimization software CAESES, equipped with CAD functions, robust parametric models can be flexibly created while incorporating the designer's ideas, and it is utilized in various stages of the design process. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Other pumps
• Other CAD
• Structural Analysis

An appropriate CAD tool is needed to ensure the generation of various model variations to be analyzed in the automation process!

Ansys CFD tools such as Fluent and CFX receive strong support from engineers for evaluating fluid dynamic behavior in design, along with various options and tools used for mesh creation. These tools provide valuable information and insights regarding the performance to be evaluated. Moreover, they enable automated optimization and design exploration workflows that include CFD. In addition to improving design and shortening development time and design cycles, these tools significantly enhance the development process by increasing information about the impact of various design variables on performance (product behavior) during the initial design phase, where there is a high degree of freedom in decision-making. *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

• Other CAD
• Structural Analysis

There are various types of VADs, including volumetric pumps and continuous flow pumps!

Cardiovascular diseases are a leading cause of death worldwide, but recent advances in medical technology are allowing many people suffering from heart conditions and injuries to gain a new lease on life. The ventricular assist devices (VADs) relevant to this case are mechanical circulatory support devices that replace the function of a failing heart by pumping blood from the heart's lower chambers (ventricles) into the aorta. There are various types of VADs, including volume pumps that mimic natural heartbeats and continuous flow pumps for patients without a heartbeat. Other differences include the type of pump, such as centrifugal or axial flow, the placement of the pump, and which ventricle is being assisted (right - RVAD, left - LVAD, or both - BiVAD). *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

• Structural Analysis
• Other Pumps

We will also introduce modeling approaches, the construction of more complex models, and application examples!

In the end wall section of power generation devices that convert the kinetic energy of fluids, such as turbines and compressors, into rotational motion, a secondary flow known as "cross flow" occurs due to the interaction between adjacent blades. To improve the performance of the device, it is crucial to reduce this cross flow and the resulting flow losses. The end wall contouring introduced here is a shape profile that adds irregularities to the end wall to suppress losses caused by cross flow, and it is modeled parametrically using CAESES. With the addition of these shape features and modeling techniques, it has become possible to modify the hub shape, thereby minimizing undesirable secondary flow losses. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

• Structural Analysis

Introducing examples of analysis using modeled gear pumps and gear models based on involute curves!

This time, I will introduce parametric modeling, which is part of the gear pump optimization project. This project began with the customer's request to "optimize the design of the gear pump" and has progressed with a focus on gear modeling techniques, aiming to create a more functional and user-friendly model. *For detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

• Other pumps
• Structural Analysis

Implementing the design process of a centrifugal water pump that maximally utilizes the capabilities of CAESES!

Centrifugal pumps are commonly used in industrial and household applications because their design, manufacturing, and maintenance are relatively simple. They also have the advantage of being efficient and easily adaptable to various sizes. Students from the Department of Transportation Systems at the Technical University of Berlin implemented the design process of a centrifugal water pump that maximizes the capabilities of CAESES as part of an internship project at FRIENDSHIP SYSTEMS, the developer of CAESES. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• Other pumps
• Structural Analysis

Introduction to the combination of CFD and stress analysis, as well as scallop turbine wheels!

FRIENDSHIP SYSTEMS, the developer of CAESES, has collaborated with MTU and Darmstadt University of Technology to develop a robust and variable turbine wheel geometry for turbochargers. The research, called Project GAMMA ("Efficient Gas Engines for Maritime Applications of the Next Generation"), aims to develop and prepare new technologies and interactions within the system for LNG/natural gas, which serves as fuel for efficient ship propulsion systems. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

• Structural Analysis
• Turbine

Introduction to CAESES parametric modeling of blades with cooling structures for optimization!

In gas turbines and steam turbines, the design and optimization of blade cooling structures is a very important issue for designers. The first stage of the turbine can achieve high thermal efficiency as it withstands high temperatures, which opens up infinite possibilities for structural design and fine-tuning to prevent turbine damage under high temperatures and high centrifugal forces. One efficient method to solve this design problem is shape optimization, which involves automatically varying the design parameters of the cooling structure. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

• Structural Analysis
• Turbine

The ultimate goal is to provide models with CAESES in one click and at high speed!

This article introduces FRIENDSHIP SYSTEMS, the developer of the optimization software CAESES, and their modeling request from MTU Friedrichshafen. MTU Friedrichshafen designs large turbochargers for diesel engines and uses CAESES for the design of engine components such as volutes. Some of their impeller designs are created using NUMECA Autoblade, and these models are exported in ASCII format (.vda). This format essentially includes point data for the profiles of the hub and shroud in the meridional direction, as well as the blade shapes. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• Structural Analysis

Enhancing the monitoring and diagnosis of machinery leads to improved safety and reliability, as well as reduced operational and maintenance costs!

The in-house developed data modeling software DTEmpower is a data modeling platform designed for industrial users, developed by delving into the data modeling needs of industrial companies. DTEmpower offers a wide range of algorithms for data modeling, including data cleaning, feature extraction, feature selection, and model training. It enables the improvement of model quality while reducing the need for user experience through algorithm development for specific cases, an intelligent scheduling engine, and super reference optimization. DTEmpower is equipped with a complete set of diagnostic solutions for failure diagnosis of turbomachinery. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

• Other analyses

Created a mesh model using the mesh creation tool within AIFEM! Results demonstrating the effectiveness of the software.

In this case, we will introduce the modal analysis and static analysis of the turbine rotor using the structural analysis software AIFEM. The analysis results obtained with AIFEM demonstrated the effectiveness of the software through comparison with reference data (a certain commercial software). The model subject to analysis consists of a hub, shroud, and seven blades, forming the turbine rotor. The shape data used is in .stp format, and a mesh model was created using the mesh creation tool within AIFEM. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

• Structural Analysis
• Turbine

Introducing two cases of modeling and data analysis using the data modeling platform DT Empower!

Wind turbines are mainly composed of parts such as blades, pitch control systems, gearboxes, generators, yaw control systems, and hubs. The hub connects the base of the blades to the main shaft of the wind turbine, and the blades experience complex alternating loads such as thrust, torque, and bending moments. Speed is transmitted from the hub to the main drive system through pitch bearings. Therefore, it is necessary to strictly manage the strength and lifespan requirements of the hub throughout the wind turbine. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

• Turbine
• Physical Analysis

Contributing to the evolution of the energy industry and consideration for the environment! Introducing the design and analysis of guide vanes.

In the 21st century, sustainable energy supply is becoming increasingly important, and among renewable energy sources, hydropower is widely adopted around the world as a clean and efficient means of energy production. The hydraulic turbine, which is a central element of hydropower plants, plays a role in converting the power of water into electricity, and the guide vanes are essential for maximizing performance. Guide vanes play a crucial role in hydraulic turbines, and their design and analysis are indispensable for the development of hydropower technology. This article focuses on the guide vanes of hydraulic turbines and conducts a static analysis using the general-purpose structural analysis software AIFEM. *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

• Structural Analysis
• Turbine

Input the necessary design parameters! It is possible to quickly obtain 3D design results.

We will introduce a case study of impeller design for a centrifugal pump with a specific speed of 320 using the pump-specific design software "AIPump." By simply inputting the necessary design parameters, you can quickly obtain the three-dimensional design results of the pump impeller. Additionally, through high-speed performance analysis of the design results, it is possible to instantly check key data such as efficiency. Furthermore, a high-speed performance analysis was conducted on the created impeller with a specific speed of 320, and the analysis results showed that the efficiency is 82.04. 【Design Parameters】 ■ Flow Rate (Q): 180m³/h ■ Head (H): 40m ■ Rotational Speed (n): 2950rpm ■ Impeller Outlet Diameter (D2): 194.678mm ■ Impeller Outlet Width (b2): 22.347mm ■ Impeller Inlet Diameter (Dj): 105.858mm *For more details, please download the PDF or feel free to contact us.

• Other analysis software

A case where it was visually confirmed that there is a possibility of some anomaly, as it deviates significantly from the curve!

We would like to introduce the application examples of data preprocessing and visualization using our intelligent data modeling software "DTEmpower." This software enables effective utilization of existing data even in situations where there is no experience in data modeling. Most of the sample points in this case are distributed along the same curve corresponding to normal operations, but in datasets with anomalies, some sample points are significantly deviated from the curve, allowing for a visual confirmation of potential anomalies. [Case Overview] - Preparing an appropriate dataset is an important task in modeling, so we use the built-in data preprocessing and visualization tools. - Samples from two types of data sources used here are plotted on the same scatter plot and displayed in two colors. *For more details, please download the PDF or feel free to contact us.

• Other Software

A case where the effects were verified using a simulation dataset based on the Styblinski-Tang function!

We will introduce case studies on data cleaning and AIAgent training using our intelligent data modeling software "DTEmpower." This software provides users with a variety of algorithms related to different aspects of data modeling, such as sensitivity analysis and model training. Using a simulation dataset based on the Styblinski-Tang function, we verified the effectiveness of the model training algorithm "AIAgent." The response surface is essentially aligned with theoretical values, confirming high accuracy. [Case Overview] - The goal of data modeling is to obtain a predictive model from x (x1 to x5) to y. - To confirm the superiority of AIAgent, a new project was simultaneously created, and validation using an integrated learning algorithm was also conducted. - The response surface of the model trained by AIAgent is essentially aligned with theoretical values, confirming high accuracy. *For more details, please download the PDF or feel free to contact us.*

• Other Software

A case study of FsTech's uniquely developed general-purpose optimization design platform!

We would like to introduce a case study on the optimization of fan blades using our intelligent optimization software "AIPOD." This software employs optimization algorithms specifically designed to address issues such as the high costs of numerical simulations in the field of industrial design. An optimization calculation was performed targeting nine design variables, with the objective function being the minimization of total pressure loss and a CFD calculation of 150 cases. The optimization calculation achieved a performance improvement of 19.21%, surpassing the 14.69% of competing software. [Case Overview] - By turning on the Bound-break function during the AIPOD optimization process, optimization results exceeding expectations were obtained. - In this case, since the range of the set design variables was relatively reasonable, the more optimal candidate solutions obtained by both methods are included within the design space. *For more details, please download the PDF or feel free to contact us.

• Other Software

During the optimization process, by turning on the Bound-break feature, you can achieve optimization results that exceed expectations!

We would like to introduce a case study on the optimization of inlet shapes using our intelligent optimization software "AIPOD." This software allows for the visual construction of the calculation process through its graphical definition features. Focusing on five design variables, the objective function aimed at minimizing the weighted outlet total pressure/velocity non-uniformity, with optimization calculations conducted over 60 cases. The optimization calculations achieved a performance improvement of 54.89%, surpassing the 52.34% of competing software. [Case Overview] - By turning on the Bound-break feature during the optimization process of AIPOD, optimization results exceeding expectations were obtained. - When comparing the optimization progress of AIPOD with that of competing software, although the competing algorithm initially outperformed AIPOD, its local performance declined thereafter, with no further improvements observed. *For more details, please download the PDF or feel free to contact us.

• Other Software

Achieved a performance improvement of 52.31%, surpassing the 49.36% of competing software!

We would like to introduce a case study on the optimization of the hub shape of a diagonal flow fan using our intelligent optimization software "AIPOD." This software efficiently finds superior design solutions for structural, thermal fluid, acoustic, and multiphysics coupling problems. We conducted optimization calculations targeting 14 design variables, with the objective function being the maximum pressure difference at the inlet and outlet, and one constraint condition, using 150 CFD calculation cases. The optimization calculations resulted in a performance improvement of 52.31%, surpassing the 49.36% achieved by competing software. [Case Overview] - By enabling the Bound-break function during the AIPOD optimization process, we obtained optimization results that exceeded expectations. - Although competing software was able to capture efficient design areas for several design variables, it was limited to exploring only within that range due to constraints, preventing the discovery of further optimal candidate solutions. *For more details, please download the PDF or feel free to contact us.

• Other Software

A case that demonstrates the ability to appropriately support the discovery of efficient design areas that had been excluded from consideration!

We would like to introduce a case study on the optimization of ship shapes (2) using our intelligent optimization software "AIPOD." This software is designed to be very user-friendly, even for those who are just starting with optimization. We conducted optimization calculations targeting eight design variables, with the objective function being the minimum resistance coefficient, two constraint conditions, and a CFD calculation of 100 cases. The optimization calculation with 83 cases achieved a performance improvement of 4.68%, surpassing the 4.13% of competing software. [Case Overview] - By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. - It can appropriately support the discovery of efficient design areas that were previously considered outside the scope of consideration. *For more details, please download the PDF or feel free to contact us.

• Other Software

A case where the internal flow field and temperature distribution of the battery pack were predicted with one click!

We would like to introduce the application examples of AI predictive analysis and AI high-speed analysis of our intelligent thermal fluid analysis software "AICFD." This software supports the establishment of a design process that combines design, analysis, and optimization in industrial fields, significantly improving the efficiency of product development. It performs aerodynamic analysis of automobiles using the AI-accelerated analysis function, comparing three cases including the standard analysis results. You can check the detailed content of the case studies through the related links. 【Case Overview (Partial)】 ■ AI Predictive Analysis of Battery Pack Flow Field Temperature - Based on 10 sets of analysis samples in the opposing wind speed range of 10 to 30 (m/s), it predicts the internal flow field and temperature distribution of the battery pack at an opposing wind speed of 20 (m/s) with one click. - The results of the predictive analysis are compared with the results of the standard method. *For more details, please download the PDF or feel free to contact us.

• Thermo-fluid analysis software

Application in conjugate heat conduction analysis for electronic component heat dissipation and battery pack cooling analysis for new energy vehicles!

We would like to introduce application examples of our intelligent thermal fluid analysis software "AICFD" for electronic device heat dissipation. This software provides user-friendly and high-performance simulations through an advanced graphical interface. It can be applied to cooling analysis of battery packs, which are widely used in fields such as electric vehicles, mobile devices, and energy storage. Improving the performance of battery packs can be crucial. You can check the details of the case studies through the related links. 【Case Overview (Partial)】 ■ Conjugate heat conduction analysis for electronic component heat dissipation - Heat dissipation analysis of electronic components within a casing, using laminar flow for conjugate heat conduction analysis - Memory chips are located next to the CPU unit, and various sizes of capacitors, chips, and interfaces are embedded on the motherboard - The radiator is positioned above the CPU, transferring heat from the CPU to the cooling air *For more details, please download the PDF or feel free to contact us.

• Thermo-fluid analysis software

We will introduce a case where two heat sources were installed on a cooling plate and the cooling performance was evaluated.

We would like to introduce a case study analyzing the cooling performance of a water-cooled plate using the general-purpose thermal fluid analysis software "AICFD." Two heat sources (silicon chips) were installed on the cooling plate (aluminum alloy) to evaluate its cooling performance. Our company offers a wide range of services, including product design, simulation analysis, performance optimization, customization development of software and platforms, and secondary development of commercial software. 【Analysis Conditions】 ■ Inlet Conditions: Velocity 0.2 [m/s], Temperature 25 [℃] ■ Turbulence Model: Laminar Flow ■ Heat Generation ・Heat Source 1: 40 [W] ・Heat Source 2: 60 [W] ■ Thermal Resistance: 0.25 [K/W], 0.167 [K/W] *For more details, please download the PDF or feel free to contact us.

• Other analysis software

A case study analyzing the temperature distribution of IGBTs and the stress distribution resulting from that temperature.

We would like to introduce a case study where the general-purpose finite element analysis software "AIFEM" was used to analyze the temperature distribution of IGBTs and the stress distribution resulting from that temperature. By analyzing the temperature and stress distributions of electronic devices, we can obtain fundamental data to predict design rationality. Additionally, our company offers customization of design systems tailored to customer requests and the development of custom platforms that integrate various tools. Please feel free to contact us when needed. 【Result Comparison】 ■Max Temperature (K) ・AIFEM: 353.2 ・Reference Value: 351.7 ■Max Displacement (mm) ・AIFEM: 7.65e-2 ・Reference Value: 7.42e-2 ■Max Stress (MPa) ・AIFEM: 134.7 ・Reference Value: 134.9 *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Learn mapping relationships and build data models! Quickly obtain molds that meet the requirements.

We would like to introduce the high-speed design of glass molds using the data analysis and modeling software "DTEmpower." The current mold design process involves continuously adjusting the design mold B to create a mold that meets the requirements. After obtaining the necessary glass model, there is a desire to establish a flow that allows for the direct and rapid design of the appropriate mold. Ultimately, we obtained deviation data between the glass model A that meets the design requirements and mold B, and learned the mapping relationship. We provided design methods such as constructing a data model. [Background and Issues] - The current mold design process creates a mold that meets the requirements by continuously adjusting the design mold B. - There is a desire to establish a flow that allows for the direct and rapid design of the appropriate mold after obtaining the necessary glass model. *For more details, please download the PDF or feel free to contact us.

• Other analysis software

A case study utilizing the unique feature of AI acceleration! Reducing iterations and achieving efficient analysis.

We would like to introduce the AI-accelerated analysis of a guide vane pump using the general-purpose thermal fluid analysis software "AICFD." In multi-domain and rotating machinery analysis cases, we utilize the unique AI acceleration feature of this product. By reducing the number of iterations required for calculations through AI acceleration, we achieve efficient analysis. In this case study, we were able to achieve a 27% reduction in computation time without compromising accuracy. 【Analysis Conditions】 ■ Mesh Model: Unstructured Grid 2.1 million ■ Inlet Velocity: 4.49 m/s ■ Turbulence Model: SST k-ω ■ Iterations: 5000 *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Quickly check the response peaks and stress distribution of electronic devices with the frequency response analysis feature!

We would like to introduce a case study of frequency response analysis of an electrical block using the general-purpose finite element analysis software "AIFEM." The electrical box serves as a carrier for the electronic circuit board and is also a transmission path for the excitation load. Vibrations can significantly impact the functionality and performance of the components on the electronic circuit board. With the frequency response analysis feature of this product, we were able to quickly check the response peaks and stress distribution of the electronic device, allowing us to identify areas for design improvement. 【Analysis Conditions】 ■ Frequency Range: 100 to 1000 Hz ■ Excitation Intensity: Acceleration 20 G ■ Excitation Direction: Z Direction ■ Critical Damping Ratio of Material: 0.02 *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Quickly model electronic circuit structures using AIFEM! Evaluate the rationality of temperature and stress distribution.

We would like to introduce a case study of thermal stress coupled analysis of circuit boards using the general-purpose finite element analysis software "AIFEM." Thermal stress analysis plays a crucial role in optimizing the thermal design of products, especially for high-power heating electronic components and devices, thereby enhancing the reliability of electronic equipment. By utilizing AIFEM, we quickly modeled the electronic circuit structure, created thermal transfer and heat source models, and evaluated the rationality of temperature and stress distribution. [Case Overview] ■ Volume heat source (target red area): 1.5 [mW/mm3] ■ Volume heat source (target orange area): 1.0 [mW/mm3] ■ Surface heat dissipation condition: heat transfer coefficient 0.01 [mW/(mm2*K)] ■ Ambient temperature (target blue area): 20 [℃] *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Examples of products that use a friendly and user-friendly wizard-style interactive interface!

We would like to introduce a case study on the strength analysis of the turbine top cover using our intelligent structural analysis software "AIFEM." This software provides fast and accurate finite element analysis and design optimization functions, supporting companies in establishing efficient optimal design processes. By defining a pressure load on the bottom surface of the top cover and using a 1/4 model with rotational symmetry boundary conditions, we simulated the deformation of the top cover. This analysis takes into account geometric nonlinearity. [Case Overview] ■ Defined a pressure load on the bottom surface of the top cover and simulated the deformation using a 1/4 model with rotational symmetry boundary conditions. ■ Geometric nonlinearity is considered. *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Examples of products that create a wealth of solutions for diverse applications!

We would like to introduce an application case of static analysis for movable blades of water turbines using our intelligent structural analysis software "AIFEM." This software supports engineers in solving engineering problems related to statics, dynamics, and thermodynamics associated with structures. We defined displacement constraints on the fixed ring of the guide vanes and applied water flow pressure loads in front of and behind the guide vanes, conducting simulations under three operating conditions: rated, maximum lift, and boost. [Case Overview] - We defined displacement constraints on the fixed ring of the guide vanes and applied water flow pressure loads in front of and behind the guide vanes, conducting simulations under three operating conditions: rated, maximum lift, and boost. *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Examples of the first five non-rigid motion modes, excluding the sixth rigid motion mode!

We would like to introduce an application case of modal analysis for the centrifugal impeller of a dust pump using our intelligent structural analysis software "AIFEM." This software is equipped with a finite element solver developed in-house. It analyzes the free modes of the centrifugal impeller of the dust pump. The software can accurately capture the first six rigid body free modes, which are close to zero frequency. 【Case Overview】 ■ Analyzes the free modes of the centrifugal impeller of the dust pump ■ Capable of accurately capturing the first six rigid body free modes close to zero frequency *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Application of performance analysis of centrifugal pumps that leads to the reduction of social pressure on energy demand!

We would like to introduce an application case of our intelligent thermal fluid analysis software "AICFD" for turbomachinery. This software covers the entire analysis process from the ometric model to result evaluation. It can be applied to analyze the internal flow field of axial fans, allowing us to obtain a wealth of data necessary to improve fan performance. You can check the details of the case from the related link. 【Case Overview (Partial)】 ■ Efficiency analysis of an axial fan (one pitch) - Analyzing the internal flow field of the axial fan provides a wealth of data necessary to improve fan performance. - The model consists of two components: the outlet guide vane flow path and the rotor flow path, analyzing the flow field and fan efficiency with an inlet velocity of 15.06 (m/s). *For more details, please download the PDF or feel free to contact us.

• Thermo-fluid analysis software

Explanation of valve pressure loss analysis and examples of automotive aerodynamic analysis!

We would like to introduce application examples of flow field analysis using our intelligent thermal fluid analysis software "AICFD." This software enables efficient simulation of fluid flow and heat transfer, developed by our company. It can be applied to pressure loss analysis of valves, which require higher stability, convergence, and accuracy due to the presence of many small pressure relief holes in the valves. You can check the details of the case studies through the related links. 【Case Overview (Partial)】 ■ Pressure Loss Analysis of Valves - Pressure loss analysis of valves is one of the typical cases in CFD. - Higher stability, convergence, and accuracy are required due to the presence of many small pressure relief holes in the valves. - The boundary conditions used are an inlet velocity condition of 10.69 (m/s) and an outlet static pressure condition. *For more details, please download the PDF or feel free to contact us.

• Thermo-fluid analysis software

Create parametric and robust CAD models! Various types of complex freeform shapes can be realized.

We would like to introduce a case of parametric modeling of a stator using CAD and the optimization software "CAESES." Basically, the shape of the stator can be designed with many degrees of freedom, and as long as the new design candidates meet a series of geometric constraints, various types of complex free shapes can be realized. The final CAD model is controlled by a series of parameters for the blades and EWC, most of which are linked to distribution functions of cross-sectional profiles such as camber and thickness, defining radial deformations. 【Manufacturing Constraints for the Stator】 ■ 15 blades ■ Constant maintenance of the blade's axial chord ■ Minimum thickness requirements for the leading edge and trailing edge ■ Thickness and distance of two inner holes for fixing the blades ■ Installation constraints regarding plate dimensions ■ Radius reduction limits for the EWC *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Efficiently solving complex flow and heat transfer problems! Case study of combustion analysis of a conical burner.

We would like to introduce a combustion analysis case of a conical burner using the general-purpose thermal fluid analysis software "AICFD." The analysis conditions include a turbulence model of the standard k-ε model, a fluid mixture, and a combustion model such as Species Transport. This product comprehensively covers the process from creating the analysis model, simulation, to result processing, supporting the improvement of research and development efficiency. 【Analysis Conditions (Partial)】 ■ Inlet Conditions: - 60 [m/s] - CH4 (mass percent: 3.4%) - O2 (mass percent: 22.5%) - N2 (mass percent: 74.1%) *For more details, please download the PDF or feel free to contact us.

• Other analysis software

A control method that combines "predictive control," "adaptive control," and "feedback correction" is effective!

Based on the issues in the de-NOx system of power plants, we will introduce solutions using the data analysis and modeling software "DTEmpower," as well as optimal control of the system. The de-NOx system has significant thermal hysteresis effects, making it difficult to construct physical and chemical models. Therefore, a control method that combines "predictive control," "optimal control," and "feedback correction" utilizing machine learning based on datasets is effective. As a result of applying data analysis, we can accurately and quickly predict changes in NOx concentration within the de-NOx system through machine learning, providing a reduction in the impact of the boiler's thermal hysteresis effect and optimizing rational system control. [Issues with the de-NOx System] - Unable to respond quickly to fluctuations in nitrogen oxide (NOx) concentration. - It is necessary to excessively spray ammonia at the flue gas outlet to reduce NOx concentration. - Excessive spraying of ammonia can lead to dust accumulation on the catalyst and clogging of the air preheater, resulting in decreased boiler operating efficiency and increased operational costs. *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Providing training on gearbox failure characteristics through big data analysis!

We will introduce the technical analysis work related to bearing parameter alarms and gearbox fault diagnosis based on the data modeling software "DTEmpower." This product can provide deep data analysis necessary for industrial data processing as a concise and rigorous one-stop solution. Additionally, it enables data analysis, modeling, and design based on machine learning, significantly improving product development efficiency. 【Condition Monitoring & Parameter Alarms】 ■ Extraction of Sensory Feature Characteristics ■ Quantitative Optimization of Sensitive Feature Alarms *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Early warning methods based on machine learning can respond more sensitively to abnormal conditions!

We would like to introduce a case study of applying the data modeling and analysis software "DTEmpower" to transformer winding temperature warnings. The machine learning method allows for a more sensitive detection of abnormal data points in winding temperature simply by setting the difference between the temperature measured by sensors and the temperature estimated by the model. Additionally, early warnings based on machine learning only require setting the degree of deviation from normal values, which essentially establishes a dynamic early warning zone. This approach offers greater flexibility and improved reliability compared to traditional static warning bands. 【Problems and Challenges】 - Ensuring the stability and reliability of transformers is a critical issue, and responses to failures need to be swift and effective. - The main cause of transformer failures is the decrease in insulation capacity. - To mitigate the risk of transformer failure due to decreased insulation capacity, early warnings for winding temperature are necessary. *For more details, please download the PDF or feel free to contact us.

• Other analysis software

One of the investigations into the impact of peak water pressure on structures! A case study analyzing the strength of the pump body.

We would like to introduce a case study of static analysis of a pump structure using the general-purpose finite element analysis software "AIFEM." The pump model being analyzed consists of two components: the main body and the cover, which are connected by a flange. By investigating the pressure distribution of the pump, it is possible to confirm the mechanical properties of the structure and quickly evaluate the design in question. 【Analysis Conditions】 ■ Material - Young's Modulus: 205000 [MPa] ■ Material - Poisson's Ratio: 0.28 ■ Load Condition: C surface 4.5 [MPa] ■ Component Joint: D surface, E surface ■ Constraint Conditions: A surface, B surface *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Only the modified parts of the existing shape are defined by parameters! Various shapes can be created.

We will introduce efficient optimization using morphing with "CAESES," which we provide. It is mainly used in the shipbuilding and maritime industry, but the majority of users focus on full parametric modeling. In morphing (partial parametric modeling), the deformation of imported existing geometry is performed. Therefore, only the modified parts of the existing shape are defined by parameters, allowing for the creation of various shapes. 【Previous Morphing Features】 ■ Shift transformations ■ Lackenby shift ■ Free-Foam deformation (FFD) ■ Cartesian shifts ■ Spot transformations *For more details, please download the PDF or feel free to contact us.

• Other analysis software

You can understand the pressure loss of the heat sink water jacket!

We will introduce a case study analyzing the cooling performance of a water-cooled IGBT module using the general-purpose thermal fluid analysis software "AICFD." The model being analyzed is a simplified version, representing 1/6 of the original module. Additionally, a water-cooled heat sink has been added to the underside of the substrate, and the mesh model consists of 8.78 million unstructured cells. By conducting such analyses, we can understand the pressure loss of the heat sink water jacket and the cooling state of the module, which provides valuable information for thermal design and thermal countermeasures. 【Boundary Conditions】 ■ Inlet Velocity (m/s): 8.0 ■ Inlet Water Temperature (K): 295.14 ■ Water Side Heat Exchange Area (m²): 4.062×10^-3 *For more details, please download the PDF or feel free to contact us.

• Other analysis software

Solve data characteristics and model training issues! Ultimately, the R2 index of the predictive model improved from 0.68 to 0.94.

We would like to introduce an application case of timing prediction for parameters of our intelligent data modeling software "DTEmpower." This product is equipped with graphical process construction features, allowing all data and model operations to be performed simply by manipulating the modules within the toolbox. In the time series forecasting problem, our software addressed issues related to data characteristics and model training, ultimately improving the R2 index of the prediction model from 0.68 to 0.94. [Case Overview] - Faced with a complex dynamic biochemical process model characterized by strong external interference, time-varying factors, coupling, and non-linearity, we built a data-driven system based on a large amount of measurement data. - By rationally selecting external features and introducing feature engineering techniques such as MDI/PCA, we not only enhanced the richness of input information but also improved model prediction accuracy and mitigated issues arising from excessive input. *For more details, please download the PDF or feel free to contact us.

• Other Software

Enables superior product design! Equipped with 3D parametric modeling and morphing features.

"CAESES" is optimization and parametric modeling software used in various fields such as shipbuilding, turbo machinery, aerospace, and automotive. It supports 3D full parametric modeling, model deformation control, checking functions based on various constraints, connections to simulation software, optimization, and result post-processing. Through a parametric optimization approach, it enables better product design. 【Features】 ■ 3D parametric modeling and morphing functions ■ Integration with simulation software ■ Optimization algorithms and data analysis/post-processing modules *For more details, please refer to the PDF document or feel free to contact us.

• 3D CAD

A graphical operating environment and powerful algorithms! Usable in various scenes of corporate activities.

"DTEmpower" is a data analysis and modeling software that can extract valuable information from various data it holds and build high-quality data models. It provides a graphical operating environment and powerful algorithms, allowing users without data modeling experience to easily perform data analysis and model construction. With its unique algorithm AIOD for outlier detection, it can identify samples that exhibit abnormal characteristics in local subsets. 【Features】 ■ Data Cleaning ■ Data Clustering ■ Sensitivity Analysis ■ Regression Models ■ Zero Coding *For more details, please refer to the PDF materials or feel free to contact us.

• Data conversion software

Dramatic improvement in optimization efficiency! Supports the rapid and accurate acquisition of design solutions that meet requirements.

"AIPOD" is a general-purpose optimization software that addresses design issues such as performance improvement and cost reduction. By utilizing features such as integration with CAE tools, optimization strategies leveraging AI technology, and easy process construction, it enables efficient product design across various fields and the acquisition of superior design candidates. Since it allows for the easy construction of any optimization process, it facilitates rapid reflection in design and the attainment of true design capabilities. [Features] ■ Dramatic improvement in optimization efficiency ■ Rapid response to industry trends ■ One-stop platform *For more details, please refer to the PDF materials or feel free to contact us.

• Other analyses

Structural analysis and heat transfer analysis! Coupled heat transfer-structural analysis using both is possible.

"AIFEM" is a finite element analysis software designed to efficiently analyze issues such as strength, vibration, and thermal problems in the fields of energy, shipping, electronics, and automobiles. It covers the entire simulation process and contributes to improved development efficiency. The software actively enhances solver accuracy based on engineering test results, standard test cases, and simulation results from third-party commercial software. 【Features】 ■ Intuitive and simple operability ■ High-precision finite element method solver ■ Various analysis functions *For more details, please refer to the PDF materials or feel free to contact us.

• Other analyses

Simple and intuitive operability! Achieving improved computational efficiency through AI algorithms.

"AICFD" is a thermal fluid analysis software designed to efficiently analyze complex flow and heat transfer problems in the fields of energy, shipping, electronics, and automobiles. It covers the entire simulation process and contributes to the establishment of optimal design processes and the improvement of development efficiency. It provides graphical setup operations that significantly reduce the user's burden. 【Features】 ■ Simple and intuitive operability ■ Improved computational efficiency through AI algorithms ■ Intelligent predictive analysis ■ Dedicated modules for specific areas *For more details, please refer to the PDF materials or feel free to contact us.

• Thermo-fluid analysis

Efficiently analyze the strength of compressors with high precision! Achieve efficient design verification through smooth operability!

We will introduce a case study on the strength analysis of a compressor using the general-purpose finite element analysis software AIFEM. A compressor is a device that converts mechanical energy into fluid energy, consisting of multiple moving blades (rotors) and stationary blades (stators). The moving blades rotate at high speeds, compressing the gas within the flow path and increasing its energy. During this process, the impact of centrifugal force is particularly significant, necessitating high strength in the moving blades; therefore, strength analysis that adequately considers centrifugal force loading is crucial. With AIFEM's efficient pre-post processing and high-precision solver, we achieve a faster analysis process in development design and shorten the design cycle. *For more details, please download the PDF or feel free to contact us.*

• simulator
• Structural Analysis
• Stress Analysis

Build a data-driven power usage prediction model using time series forecasting features!

We will introduce a case study that applies the data modeling platform "DTEmpower" to accurately predict electricity usage and support smart power supply. This product features a time series forecasting function, which allows for the construction of data-driven electricity usage prediction models. Using the necessary data for forecasting, we assist in making predictions about future electricity usage. The benefits of the forecasting model include the ability to predict changes in electricity usage in advance, as well as improvements in the economic efficiency of the power system and social benefits. 【Flow for Building the Forecasting Model】 ■ Setting Timing Variables ■ Preprocessing Time Series Data *For more details, please download the PDF or feel free to contact us.

• Other analyses
• Business Intelligence and Data Analysis

Rapidly optimize the chip's heat dissipation structure! Provide new ideas and solutions for the design of cooling structures!

We will introduce a case study on the construction of an automatic optimization process for chip cooler structures based on the temperature field analysis function of the general-purpose intelligent optimization software AIPOD and thermal fluid analysis software. To achieve an efficient cooling function, which is a crucial factor in ensuring the stability of the chip, the development of a refined cooler structure is essential. By establishing an automatic optimization process that does not require manual work through the collaboration of simulations using AIPOD and analysis software, we can achieve cost reductions in terms of time and effort required for design development. *For more details, please download the PDF or feel free to contact us.*

• simulator
• Thermo-fluid analysis
• Other analyses

Analysis of components that requires the use of advanced analytical methods is essential! We will also present the results of maximum strain under three conditions.

We would like to introduce a case study of strength analysis of a turbine upper cover using the finite element method (FEM) analysis software "AIFEM." In the design of this cover, improvements in durability, safety, and efficiency are required, making the use of advanced analysis methods essential. In this case study, pressure loads were applied to the bottom surface of the turbine upper cover, and symmetrical boundary conditions were applied using a 1/4 model to analyze the deformation of the upper cover. [Analysis Results] ■ Rated operating condition: 4.515×10^-4 ■ Maximum head condition: 5.552×10^-4 ■ Boost condition: 8.609×10^-4 *For more details, please download the PDF or feel free to contact us.

• simulator
• Structural Analysis
• Stress Analysis

Control heat through cooling analysis! Supporting innovative product development that exceeds design limits!

We will introduce a case study on cooling analysis of motors for electric vehicles using the general-purpose intelligent thermal fluid analysis software AICFD. As the adoption of electric vehicles accelerates, there is a demand for the development of more efficient and high-performance drive motors. Improving motor performance involves factors such as optimizing energy conversion efficiency and reducing weight, among which thermal management is a key element. The heat generated inside the motor can not only lead to a decrease in output and efficiency but also significantly impact durability and long-term reliability. Therefore, it is essential to implement appropriate cooling design and achieve efficient thermal control. In this analysis, we examined the temperature distribution around the coils, which are the main heat sources within the electric vehicle motor, and evaluated the cooling performance. By visualizing the temperature distribution obtained through simulation, we can confirm the effectiveness of the cooling design. *For more details, please download the PDF or feel free to contact us.*

• simulator
• Thermo-fluid analysis

Accurately evaluate the natural frequency and mode shapes of the engine block! Obtain information that leads to performance improvement in the design phase!

We will introduce a case study on eigenvalue analysis of engine blocks using the general-purpose finite element analysis software AIFEM. The eigenvalue characteristics of the engine block are crucial factors that influence the overall operational stability and durability of the engine. In particular, they relate to the operational lifespan and reliability of key components such as the piston, cylinder liner, and crankshaft, and they also significantly impact the engine's NVH (Noise, Vibration, and Harshness) performance. The effects of external excitation are particularly pronounced in the lower four mode frequencies, where resonance can lead to amplified vibrations. Therefore, it is essential to identify the main mode shapes and frequencies through eigenvalue analysis and implement appropriate design measures. Applications of this analysis: ■ To avoid the risk of resonance and prevent damage due to excessive vibrations ■ To enhance comfort by optimizing NVH performance ■ To find the optimal balance between lightweight design and rigidity *For more details, please download the PDF or feel free to contact us.

• simulator
• Structural Analysis
• Stress Analysis

We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will be showcasing a number of products, including our new product, the Packaging Container Air Leak Test (Pin Hole Inspection) Device | MSQ-2003 series. We sincerely apologize for the inconvenience during your busy schedule, but we would like to cordially invite you to attend this event. 【 Trade Show Name 】 【 Dates 】 【 Venue/Booth Number 】

Yazaki Energy System will be exhibiting at the "14th Agricultural WEEK (commonly known as J-AGRI)" held at Makuhari Messe. In response to challenges surrounding agriculture, such as record heat and soaring energy prices, our company proposes an agricultural system that utilizes surplus solar heat and waste heat from factories during the summer to support stable cultivation throughout the year, from winter heating to summer cooling. ■ Exhibition Details (Booth Number: 25-47) <Closed-type Agricultural House> Results from the second season and initiatives for the third season <Localized Cooling in Solar-Powered Agricultural Houses> Mechanism of substrate cooling, comparison of energy consumption with spatial cooling, growth conditions this summer <Cooling and Heating with Solar Heat> Examples of crown heating and house cooling, utilization of surplus heat in summer <Cooling of Crops and Workers with Well Water> Exhibition of a prototype well water cooler and proposals for the use of cooling jackets When you visit, please be sure to stop by our booth.

We would like to inform you about the autumn and winter internship opportunities for the 2028 graduates. 1. Open Company Dates: October 23, 2026 (Friday), November 11, 2026 (Wednesday), December 10, 2026 (Thursday), January 21, 2027 (Thursday) Time: 13:30 - 15:30 Location: Online (Microsoft Teams) 2. 1-Day Job Experience Dates: November 17, 2026 (Tuesday), December 16, 2026 (Wednesday) January 15, 2027 (Friday), January 27, 2027 (Wednesday), February 4, 2027 (Thursday), February 10, 2027 (Wednesday), February 18, 2027 (Thursday) Time: 10:00 - 17:30 (tentative) Location: Takaya Corporation Headquarters (661-1 Ibara-cho, Ibara City, Okayama Prefecture)

Notice of participation in the "FOOD Expo 2026." 【Date and Time】 　November 11 (Wednesday) - 13 (Friday), 2026 　Opening hours: 10:00 AM - 5:00 PM 【Venue】 　Tokyo Big Sight 　East Hall 2, Booth Number B-36 【Exhibits】 　Cardboard insulated boxes 　Craft cooler cubes 　Vacuum insulated panel 　Pallet cubes

[Lecture Topics] 1. Co-creation Strategy to Deliver AI to the Field - Business Development and Joint Ventures in the Era of Generative AI and Physical AI Mr. Haruto Suzuki, Industrial and Regional Research Department, Development Bank of Japan 1. The Mechanism of Generative AI and Its Current Utilization by Companies 2. Expansion of the Generative AI Market and AI Infrastructure 3. Transition from Generative AI to Physical AI 4. Bottlenecks in Social Implementation and Solutions through Joint Ventures 5. Formation of an Implementation Ecosystem through Policy and Finance 6. Q&A / Business Card Exchange 2. Needs, Development Trends, Future Possibilities, and Challenges of Physical AI Mr. Kazushi Asama, Senior Researcher, Next-Generation Robot Research Organization, Waseda University / Emeritus Professor, University of Tokyo 1. What Physical AI Means 2. Needs for Physical AI and the Technological Trends of Generative AI Behind It 3. Development Trends of Physical AI 4. Future Possibilities and Challenges of Physical AI 5. Q&A / Business Card Exchange