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

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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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.*