FsTech List of Products and Services

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

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

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

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

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

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

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

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

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

"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

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

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 analysis software
• Other Pumps

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.*

• Structural Analysis
• fan
• Other analysis software

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.)

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

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.*

• Structural Analysis
• Other CAD
• valve

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.*

• Structural Analysis
• Other CAD
• Other pumps

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.*

• Structural Analysis
• Other CAD

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

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

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.*

• Structural Analysis
• Other pumps

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.*

• Structural Analysis
• Other pumps

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

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

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

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

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

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.*

• Turbine
• Structural Analysis

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

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.*

• Turbine
• Structural Analysis

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 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

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

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

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

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

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

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
• Other analyses
• Thermo-fluid analysis

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.

• Business Intelligence and Data Analysis
• Other analyses

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

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

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

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

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

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