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

Last Updated: Aggregation Period:Sep 03, 2025~Sep 30, 2025
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Simulation Software Product List

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Design and optimization of valves

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.*

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  • valve

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Dimensional reduction of hull shape using principal component analysis in CAESES.

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.*

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  • Other analyses

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[Case Study] Cooling Performance Analysis of Water-Cooled Plates 'AICFD'

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.

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  • Other analysis software

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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.

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  • Other analysis software

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Thermal Fluid Simulation Software 'AICFD'

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

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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.*

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  • Structural Analysis
  • fan
  • Other analysis software

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[Case Study] Combustion Analysis of Corn Burners 'AICFD'

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.

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  • Other analysis software

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[Example] AI Predictive Analysis and AI High-Speed Analysis 'AICFD'

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.

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  • Thermo-fluid analysis software

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[Example] Electronic Device Heat Dissipation 'AICFD'

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.

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  • Thermo-fluid analysis software

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Thermal Fluid Simulation Software 'AICFD'

【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.

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  • Thermo-fluid analysis software

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