Simulation Software Product List and Ranking from 20 Manufacturers, Suppliers and Companies

Last Updated：Oct 01, 2025 Aggregation Period:Sep 03, 2025～Sep 30, 2025
This ranking is based on the number of page views on our site.

Simulation Software Manufacturer, Suppliers and Company Rankings

Last Updated：Oct 01, 2025 Aggregation Period:Sep 03, 2025～Sep 30, 2025
This ranking is based on the number of page views on our site.

シーメンス株式会社 gPROMS ポートフォリオ Kanagawa//software
TCC Hiroshima//software
FsTech Kanagawa//software
4 null/null
5 ペガサスソフトウェア Tokyo//software

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Simulation Software Product ranking

Last Updated：Oct 01, 2025 Aggregation Period:Sep 03, 2025～Sep 30, 2025
This ranking is based on the number of page views on our site.

Simulation software 'gPROMS Process' シーメンス株式会社 gPROMS ポートフォリオ
Simulation software "MCSimulator" TCC
Simulation software "PEGASUS" ペガサスソフトウェア
[Development Case] Simulation TCC
4 Web handling simulation tool *Free explanatory materials provided

Simulation Software Product List

31～45 item / All 96 items

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[Information] Altair's technology adopted by EV manufacturers worldwide.

Introducing Altair's simulation technology adopted by EV manufacturers around the world!

This document provides information about our technology adopted by EV manufacturers worldwide. We introduce "Altair's AI technology adopted by global automotive companies," starting with real-time sound pressure prediction using surrogate models. Additionally, we feature "RAPIDMINER," a leading data analytics and AI platform recognized by over a million users worldwide and certified in the Gartner Magic Quadrant. [Contents] ■ Altair's AI technology adopted by global automotive companies ■ ALTAIR RAPIDMINER ■ Altair's simulation technology adopted by EV manufacturers worldwide ■ Utilizing Altair's cloud technology to enhance competitiveness in the global market ■ Responding to the efficiency of semiconductor design and changes in the supply chain *For more details, please download the PDF or feel free to contact us.

Company：アルテアエンジニアリング
Price：Other

Other information systems

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Invitation to the Visual Components Free Trial Session

Participants in the trial session will be issued a trial license (30-day version), so you can continue to try Visual Components after the session.

We are holding a free trial session for companies considering the introduction of the D Simulator "Visual Components 4.x." This seminar will include an explanation of the basic operations of Visual Components, as well as hands-on experience to feel how it works. We encourage you to participate as an opportunity to learn more about Visual Components products. Duration: Approximately 2 to 3 hours Number of participants: 1 to 3 people (If you wish to participate with more than 4 people, please consult us) Location: CMS Headquarters (Atsugi City, Kanagawa Prefecture) or online Content: Explanation of basic operations, creation of a simple line simulation, Q&A session

Company：CMS Co., Ltd.
Price：Other

simulator

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I want to verify the effects of introducing xOpt in advance.

A service that visualizes and provides simulation results such as effectiveness verification during the introduction of material handling equipment and analysis of the current situation!

Our service "LogiUp" solves the challenge of wanting to verify the effectiveness of implementing the Transit Optimal Platform/xOpt in advance. To visualize the factory with beautiful 3D models, the results from LogiUp can also be used as presentation materials for exhibitions and customer acquisition. This service does not require customers to purchase simulation tools or learn how to operate them. 【Recommended for companies like these】 ■ Have introduced AGVs for the first time but are experiencing congestion and want to know efficient operation methods ■ AGV operating costs are high, and want to reduce the number of AGVs as much as possible ■ Considering multiple AGVs but unsure which AGV specifications are optimal ■ Want to evaluate the impact when changing the layout of storage areas, material handling equipment, and flow lines within the factory ■ Want to convey the implementation image to customers when proposing material handling equipment *For more details, please refer to the related links or feel free to contact us.

Company：iPX
Price：Other

Virtual Reality Related

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[Data] The Effects of Cloud-Based Advanced Simulation

Here are five reasons why you should consider simulation tools that can help overcome today's product development challenges!

Traditionally, developing more complex products required repeatedly iterating on designs and creating multiple physical prototypes to fully understand the design's behavior and verify the product's performance and safety. However, product developers can now use simulation tools and virtual prototypes, allowing them to iterate on designs as needed and significantly reduce time. This document provides a detailed explanation of advanced multiphysics simulations that can be run in the cloud and how companies are leveraging them to gain a competitive advantage in the market. [Contents (Excerpt)] ■ Overcoming Challenges ■ Minimizing Warranty Claims ■ Resemin Inc. Doubles Processing Power ■ Utilizing Cloud Computing Capabilities ■ PES Inc. Rapidly Executes Complex Simulations ■ Reducing the Number of Physical Prototypes *For more details, please download the PDF or feel free to contact us.

Company：アルゴジャパン・イーエス
Price：Other

3D CAD

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[Example] Thermal conduction and thermal stress coupled analysis of circuit boards 'AIFEM'

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.

Company：FsTech
Price：Other

Other analysis software

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[Example] Frequency Response Analysis of Electrical Box 'AIFEM'

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.

Company：FsTech
Price：Other

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[Case Study] AI-Accelerated Analysis of Guide Vane Pumps 'AICFD'

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.

Company：FsTech
Price：Other

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[Case Study] High-Speed Design of Glass Molds Using Data Mining

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.

Company：FsTech
Price：Other

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[Example] Transformer winding temperature warning 'DTEmpower'

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.

Company：FsTech
Price：Other

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[Case Study] Strength Analysis of Turbine Upper Cover 'AIFEM'

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.

Company：FsTech
Price：Other

simulator
Structural Analysis
Stress Analysis

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Optimization of axial fans using TCFD and CAESES.

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.*

Company：FsTech
Price：Other

Structural Analysis
fan
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Sensitivity approach for turbo pump inducer geometry

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.*