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 163 Manufacturers, Suppliers and Companies

Last Updated: Aggregation Period:Oct 22, 2025~Nov 18, 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:Oct 22, 2025~Nov 18, 2025
This ranking is based on the number of page views on our site.

  1. シュレーディンガー Tokyo//software
  2. CGTech Tokyo//software
  3. FsTech Kanagawa//software
  4. 4 アスペンテックジャパン/AspenTech Tokyo//software
  5. 5 テクノ Saitama//Industrial Electrical Equipment

Simulation software Product ranking

Last Updated: Aggregation Period:Oct 22, 2025~Nov 18, 2025
This ranking is based on the number of page views on our site.

  1. Accelerating Next-Generation Polymer Design: Digital Chemistry Platform シュレーディンガー
  2. Robot simulation software "FRSim" テクノ
  3. Aspen Plus process simulation software アスペンテックジャパン/AspenTech
  4. 4 CNC simulation software『Vericut 9.6』 CGTech
  5. 5 Satara Phoenix WinNonlin

Simulation software Product List

301~315 item / All 679 items

Displayed results

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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Torque converter shape optimization

CAESES provides beneficial results across various fields, regardless of the products in question!

A torque converter for automobiles is a type of fluid coupling used in vehicles equipped with automatic transmissions to transmit rotational force from the engine to the drive shaft. Designers of torque converters work to minimize cavitation within the device and ensure good flow behavior of the transmission oil, aiming to maximize efficiency and torque ratio at high speeds. CAESES enables the modeling of such complex shapes and can build an optimization system that incorporates shape data into analysis software. By connecting CFD analysis software and proprietary CFD codes to CAESES, it analyzes flow behavior for each designed shape during optimization calculations and provides users with the optimal shape based on constraints. *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 analysis software

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Parametric modeling and optimization of electric vehicle battery fins.

Parametrize the fin shape and arrangement of the heat sink to build a model that can flexibly evaluate various design patterns!

With the improvement in electric vehicle performance, the high output of batteries has progressed, and the increase in power consumption has also led to an increase in heat generation. Therefore, to ensure stable operation of the battery and maximize its performance, the design of an efficient cooling structure is essential. In particular, temperature management of the battery pack is directly related to the lifespan and safety of the cells, necessitating the design of an optimal heat dissipation mechanism. In this case study, we focused on a finned heat sink structure and conducted optimization aimed at improving thermal exchange efficiency. *For more details, please refer to the related links. For further information, you can download the PDF or feel free to contact us.*

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  • Other analysis software

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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.*

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  • Other analysis software

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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.*

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  • Image analysis software
  • Structural Analysis

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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.*

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  • Other analyses

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