We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Simulation Software.
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Simulation Software Product List and Ranking from 41 Manufacturers, Suppliers and Companies

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

  1. アスペンテックジャパン/AspenTech Tokyo//software
  2. FsTech Kanagawa//software
  3. null/null
  4. 4 IDAJ Kanagawa//software
  5. 5 シュレーディンガー Tokyo//software

Simulation Software Product ranking

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

  1. Aspen Plus process simulation software アスペンテックジャパン/AspenTech
  2. Engine simulation software "GT-POWER" IDAJ
  3. Thermal Fluid Simulation Software 'AICFD' FsTech
  4. 4 Offline programming of arc welding robots
  5. 5 Process simulation software Aspen HYSYS アスペンテックジャパン/AspenTech

Simulation Software Product List

541~555 item / All 658 items

Displayed results

[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.

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  • simulator
  • Structural Analysis
  • Stress Analysis

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[DTEmpower] Evaluation of Wind Turbine Hub Strength

Introducing two cases of modeling and data analysis using the data modeling platform DT Empower!

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.*

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  • Turbine
  • Physical Analysis

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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.*

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  • Structural Analysis

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CFD optimization through integration with AnsysCFD.

An appropriate CAD tool is needed to ensure the generation of various model variations to be analyzed in the automation process!

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.*

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  • Structural Analysis
  • Other CAD

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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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Optimization of the shape of the volute and diffuser of a centrifugal compressor.

For shape creation, we use CAESES, and for mesh model creation and CFD analysis, we use products from NUMECA!

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.*

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  • Structural Analysis
  • Other 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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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.*

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  • Other pumps

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Propeller design of Caterpillar Propulsion

Execute tasks such as setting up the blade model and generating individual dynamic 2D drawings!

Caterpillar Propulsion has implemented CAESES for the design of propeller blades. When we started on a project basis, the overall idea was to implement it as a workbench that integrates and controls mesh generation and simulation software. At the same time, CAESES needs to provide a fully parametric 3D blade design that allows Caterpillar Propulsion's engineers to reconstruct the definitions of existing blades and profiles, while also requiring high flexibility to try out entirely new designs. *For more details, please refer to the related link. For further information, you can download the PDF or feel free to contact us.*

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  • Mechanical Design

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Optimization of motor electromagnetic and noise performance

Under conditions with little change in average torque, torque ripple is reduced by 10%!

This article introduces the optimization of the electromagnetic and noise performance of motors using the general-purpose optimization software AIPOD. The main source of vibration and noise in motors is the electromagnetic force that changes over time and space with the stator. To reduce the motor's vibration noise, it is key to weaken the amplitude of the corresponding order of the electromagnetic force. Through the software interface standardly equipped with AIPOD, external software's input and output variables can be seamlessly connected, allowing for rapid optimization of motor noise design. *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 analysis software

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Eigenvalue optimization of automotive oil pans

Improved the first natural frequency from 701.5Hz to 1224.6Hz without breaking the outline boundary of the base model!

The base model of the oil pan, which is the subject of optimization, was considered to have a primary natural frequency lower than the initially assumed requirements, resulting in poor NVH performance. In this case, we aim to improve the primary natural frequency of the oil pan through structural optimization. Assuming that the contour boundary of the base model remains unchanged, a partial parametric model will be created using external CAD software and incorporated into the node-based optimization process constructed in AIPOD. *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 analysis software

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Optimization of catalytic converter performance using CAESES.

Optimization of the duct of the catalytic converter using CAESES!

Designing engine components for automobiles often involves considering many constraints, making it a challenging task within development design work. One example is the duct located just before the catalytic converter. Due to space constraints, this component is often designed to be bent quite sharply, which makes it difficult to ensure that the flow distribution is sufficiently uniform. In other words, if the flow characteristics of the catalytic converter are poor, there is a possibility that performance will decrease and emissions will increase. In this case, optimization of the duct for the catalytic converter will be performed using CAESES. *For more details, please refer to the related links. For further information, feel free to download the PDF or contact us.*

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  • Other analysis software

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Automatic Optimization using Adjoint Flow Solvers

It is possible to efficiently obtain optimal candidate geometry that can be directly supplied to the downstream CAD design process!

At FRIENDSHIP SYSTEMS, the developer of the CAD and optimization software CAESES, automatic optimization calculations were performed based on the shape sensitivity calculated by Adjoint Flow Solvers. The open-source optimization toolkit Dakota, integrated into CAESES, provides optimization methods that can directly accept gradient information obtained by combining shape sensitivity with CAD model parameters as input data. Based on this information, the algorithm selects parameters for design candidates created by CAESES, and calculations are performed using Adjoint Flow Solvers. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

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  • Other analysis software

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Morphing of the injector nozzle

Implement shape deformation on the injector nozzle using the morphing function!

One of the components targeted for optimization in diesel engines is the injector. This component is designed with careful consideration of its orientation and dimensions to ensure that fuel is injected appropriately into the combustion chamber, making it highly refined. In this case, we will introduce a method for rapidly deforming the existing nozzle shape of the fuel injection system. Based on the shape data imported into CAESES in STL format, we will use the morphing function to implement shape deformation on the injector nozzle. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

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  • Other analysis software

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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.*

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  • Other analysis software

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