Simulation Software(cae) - List of Manufacturers, Suppliers, Companies and Products

Propeller optimization using machine learning

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.*

Company：FsTech
Price：Other

Image analysis software
Structural Analysis

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Shape optimization of SWATH support vessels.

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.*

Company：FsTech
Price：Other

Other measurement, recording and measuring instruments
Other analyses

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Optimization of Container Ship Shape

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.*

Company：FsTech
Price：Other

Other analyses

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Parametric modeling of turbine blade cooling structures

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.*

Company：FsTech
Price：Other

Structural Analysis
Turbine

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A New Approach to the Design of sCO2 Axial Flow Turbines

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.*

Company：FsTech
Price：Other

Turbine

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Design and Optimization of VOITH Linear Jet

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.*

Company：FsTech
Price：Other

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

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Parametric model of end wall contouring

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.*

Company：FsTech
Price：Other

Structural Analysis

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Tire tread pattern optimization

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.*

Company：FsTech
Price：Other

Other analysis software

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Acquisition of design parameters for geometry based on neural networks.

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.*

Company：FsTech
Price：Other

Other analyses

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Optimization of thermal design for electric vehicle battery packs

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.*