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 20 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. シーメンス株式会社 gPROMS ポートフォリオ Kanagawa//software
  2. TCC Hiroshima//software
  3. FsTech Kanagawa//software
  4. 4 null/null
  5. 5 ペガサスソフトウェア Tokyo//software
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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. Simulation software 'gPROMS Process' シーメンス株式会社 gPROMS ポートフォリオ
  2. Simulation software "MCSimulator" TCC
  3. Simulation software "PEGASUS" ペガサスソフトウェア
  4. [Development Case] Simulation TCC
  5. 4 Web handling simulation tool *Free explanatory materials provided

Simulation Software Product List

46～60 item / All 96 items

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Propeller design of Caterpillar Propulsion

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

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

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 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

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

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

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

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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Optimization of thermal design for electric vehicle battery packs

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

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

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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Parametric model of twin-skeg boats in CAESES

Parametric model of twin-skeg boats in CAESES

It is possible to flexibly control various parts related to hull characteristics!

We will introduce the parametric model of a twin-skeg vessel created by FRIENDSHIP SYSTEMS, the developer of the CAD + optimization software CAESES. In cases where the shape is symmetrical, only half of the hull is typically modeled. With CAESES, it is possible to robustly construct a model that incorporates the deformations anticipated by the user. *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 analyses
  • Other CAD

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Optimization of the air intake for AIPOD.

Optimization of the air intake for AIPOD.

Introduction to parametric modeling using CAD and optimization software CAESES.

This article introduces the air intake optimization of ramjet engines using AIPOD, our self-developed optimization platform. Ramjet engines are designed for air intake at Mach numbers of 3 and above, where the mixture flows in and the exit becomes subsonic, making it a type of jet engine. To accommodate different flight Mach numbers, a center cone called a spike can be moved forward and backward, and when the maximum flight Mach number of 3.5 is reached, the Mach line formed at the tapered vertex intersects exactly with the lip. *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 analyses

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Optimization of compressor blades for aircraft engines

Optimization of compressor blades for aircraft engines

Introduction to the optimization of axial flow compressor blades developed jointly by FRIENDSHIP Corporation and RRD Corporation.

Aircraft engine manufacturers are working daily on product development to meet the stringent demands of reducing exhaust emissions and fuel consumption. This effort requires further improvements in the design process to efficiently create aerodynamically superior compressor designs. In recent years, developing appropriate blade shapes that meet global design and performance requirements with high efficiency has necessitated numerous iterative calculations between different software tools for shape creation and fluid analysis. *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 analyses

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Optimization of the intake duct for propulsion systems in high Mach number regions.

Optimization of the intake duct for propulsion systems in high Mach number regions.

Payloads, space exploration, and space travel are driving remarkable advancements in the aerospace field.

The Wright brothers first flew over a century ago, but now we live in an era where we can fly efficiently and affordably to the far corners of the world. In the future, it is expected that supersonic and hypersonic flights exceeding Mach 5 at altitudes above 90,000 feet will allow travel from the UK to Australia in just four hours, and this remarkable achievement could be realized within 20 years. Even more impressive is the development of spaceplanes that bridge the realms of air and space. *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 analyses

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