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soft Product List and Ranking from 2419 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Sep 16, 2026～Oct 13, 2026
This ranking is based on the number of page views on our site.

soft Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 16, 2026～Oct 13, 2026
This ranking is based on the number of page views on our site.

  1. B7 Tokyo//software
  2. ヒューリンクス Tokyo//software
  3. スカイロジック Shizuoka//software
  4. 4 ウェーブフロント 本社 Kanagawa//software
  5. 5 システムクリエイト Osaka//Industrial Machinery
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soft Product ranking

Last Updated： Aggregation Period:Sep 16, 2026～Oct 13, 2026
This ranking is based on the number of page views on our site.

  1. AI/Navi-equipped Business Automation RPA 'RK Series'
  2. Patsnap Synapse | Pharmaceutical R&D Intelligence パトコア
  3. [マルスゴ]自由なカーブをメッシュ表面に直接作図 システムクリエイト
  4. 4 Aspen Plus process simulation software アスペンテックジャパン/AspenTech
  5. 5 Simulation Conference Japan 2026 日本ケイデンス・デザイン・システムズ社

soft Product List

8941～8970 item / All 11226 items

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

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

Examples of products that use a friendly and user-friendly wizard-style interactive interface!

We would like to introduce a case study on the strength analysis of the turbine top cover using our intelligent structural analysis software "AIFEM." This software provides fast and accurate finite element analysis and design optimization functions, supporting companies in establishing efficient optimal design processes. By defining a pressure load on the bottom surface of the top cover and using a 1/4 model with rotational symmetry boundary conditions, we simulated the deformation of the top cover. This analysis takes into account geometric nonlinearity. [Case Overview] ■ Defined a pressure load on the bottom surface of the top cover and simulated the deformation using a 1/4 model with rotational symmetry boundary conditions. ■ Geometric nonlinearity is considered. *For more details, please download the PDF or feel free to contact us.

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[Case Study] Optimization of Ship Shape (2) 'AIPOD'

[Case Study] Optimization of Ship Shape (2) 'AIPOD'

A case that demonstrates the ability to appropriately support the discovery of efficient design areas that had been excluded from consideration!

We would like to introduce a case study on the optimization of ship shapes (2) using our intelligent optimization software "AIPOD." This software is designed to be very user-friendly, even for those who are just starting with optimization. We conducted optimization calculations targeting eight design variables, with the objective function being the minimum resistance coefficient, two constraint conditions, and a CFD calculation of 100 cases. The optimization calculation with 83 cases achieved a performance improvement of 4.68%, surpassing the 4.13% of competing software. [Case Overview] - By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. - It can appropriately support the discovery of efficient design areas that were previously considered outside the scope of consideration. *For more details, please download the PDF or feel free to contact us.

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[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

Achieved a performance improvement of 52.31%, surpassing the 49.36% of competing software!

We would like to introduce a case study on the optimization of the hub shape of a diagonal flow fan using our intelligent optimization software "AIPOD." This software efficiently finds superior design solutions for structural, thermal fluid, acoustic, and multiphysics coupling problems. We conducted optimization calculations targeting 14 design variables, with the objective function being the maximum pressure difference at the inlet and outlet, and one constraint condition, using 150 CFD calculation cases. The optimization calculations resulted in a performance improvement of 52.31%, surpassing the 49.36% achieved by competing software. [Case Overview] - By enabling the Bound-break function during the AIPOD optimization process, we obtained optimization results that exceeded expectations. - Although competing software was able to capture efficient design areas for several design variables, it was limited to exploring only within that range due to constraints, preventing the discovery of further optimal candidate solutions. *For more details, please download the PDF or feel free to contact us.

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[Case Study] Optimization of Entrance Shape 'AIPOD'

[Case Study] Optimization of Entrance Shape 'AIPOD'

During the optimization process, by turning on the Bound-break feature, you can achieve optimization results that exceed expectations!

We would like to introduce a case study on the optimization of inlet shapes using our intelligent optimization software "AIPOD." This software allows for the visual construction of the calculation process through its graphical definition features. Focusing on five design variables, the objective function aimed at minimizing the weighted outlet total pressure/velocity non-uniformity, with optimization calculations conducted over 60 cases. The optimization calculations achieved a performance improvement of 54.89%, surpassing the 52.34% of competing software. [Case Overview] - By turning on the Bound-break feature during the optimization process of AIPOD, optimization results exceeding expectations were obtained. - When comparing the optimization progress of AIPOD with that of competing software, although the competing algorithm initially outperformed AIPOD, its local performance declined thereafter, with no further improvements observed. *For more details, please download the PDF or feel free to contact us.

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[Case Study] Data Preprocessing and Visualization 'DTEmpower'

[Case Study] Data Preprocessing and Visualization 'DTEmpower'

A case where it was visually confirmed that there is a possibility of some anomaly, as it deviates significantly from the curve!

We would like to introduce the application examples of data preprocessing and visualization using our intelligent data modeling software "DTEmpower." This software enables effective utilization of existing data even in situations where there is no experience in data modeling. Most of the sample points in this case are distributed along the same curve corresponding to normal operations, but in datasets with anomalies, some sample points are significantly deviated from the curve, allowing for a visual confirmation of potential anomalies. [Case Overview] - Preparing an appropriate dataset is an important task in modeling, so we use the built-in data preprocessing and visualization tools. - Samples from two types of data sources used here are plotted on the same scatter plot and displayed in two colors. *For more details, please download the PDF or feel free to contact us.

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[Case Study] Parameter Timing Prediction 'DTEmpower'

[Case Study] Parameter Timing Prediction 'DTEmpower'

Solve data characteristics and model training issues! Ultimately, the R2 index of the predictive model improved from 0.68 to 0.94.

We would like to introduce an application case of timing prediction for parameters of our intelligent data modeling software "DTEmpower." This product is equipped with graphical process construction features, allowing all data and model operations to be performed simply by manipulating the modules within the toolbox. In the time series forecasting problem, our software addressed issues related to data characteristics and model training, ultimately improving the R2 index of the prediction model from 0.68 to 0.94. [Case Overview] - Faced with a complex dynamic biochemical process model characterized by strong external interference, time-varying factors, coupling, and non-linearity, we built a data-driven system based on a large amount of measurement data. - By rationally selecting external features and introducing feature engineering techniques such as MDI/PCA, we not only enhanced the richness of input information but also improved model prediction accuracy and mitigated issues arising from excessive input. *For more details, please download the PDF or feel free to contact us.

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

[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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[Case Study] Water Cooling Analysis of IGBT Module 'AICFD'

[Case Study] Water Cooling Analysis of IGBT Module 'AICFD'

You can understand the pressure loss of the heat sink water jacket!

We will introduce a case study analyzing the cooling performance of a water-cooled IGBT module using the general-purpose thermal fluid analysis software "AICFD." The model being analyzed is a simplified version, representing 1/6 of the original module. Additionally, a water-cooled heat sink has been added to the underside of the substrate, and the mesh model consists of 8.78 million unstructured cells. By conducting such analyses, we can understand the pressure loss of the heat sink water jacket and the cooling state of the module, which provides valuable information for thermal design and thermal countermeasures. 【Boundary Conditions】 ■ Inlet Velocity (m/s): 8.0 ■ Inlet Water Temperature (K): 295.14 ■ Water Side Heat Exchange Area (m²): 4.062×10^-3 *For more details, please download the PDF or feel free to contact us.

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[Example] Centrifugal pump impeller design with a specific speed of 320 'AIPump'

[Example] Centrifugal pump impeller design with a specific speed of 320 'AIPump'

Input the necessary design parameters! It is possible to quickly obtain 3D design results.

We will introduce a case study of impeller design for a centrifugal pump with a specific speed of 320 using the pump-specific design software "AIPump." By simply inputting the necessary design parameters, you can quickly obtain the three-dimensional design results of the pump impeller. Additionally, through high-speed performance analysis of the design results, it is possible to instantly check key data such as efficiency. Furthermore, a high-speed performance analysis was conducted on the created impeller with a specific speed of 320, and the analysis results showed that the efficiency is 82.04. 【Design Parameters】 ■ Flow Rate (Q): 180m³/h ■ Head (H): 40m ■ Rotational Speed (n): 2950rpm ■ Impeller Outlet Diameter (D2): 194.678mm ■ Impeller Outlet Width (b2): 22.347mm ■ Impeller Inlet Diameter (Dj): 105.858mm *For more details, please download the PDF or feel free to contact us.

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[Example] Coupled Analysis of IGBT 'AIFEM'

[Example] Coupled Analysis of IGBT 'AIFEM'

A case study analyzing the temperature distribution of IGBTs and the stress distribution resulting from that temperature.

We would like to introduce a case study where the general-purpose finite element analysis software "AIFEM" was used to analyze the temperature distribution of IGBTs and the stress distribution resulting from that temperature. By analyzing the temperature and stress distributions of electronic devices, we can obtain fundamental data to predict design rationality. Additionally, our company offers customization of design systems tailored to customer requests and the development of custom platforms that integrate various tools. Please feel free to contact us when needed. 【Result Comparison】 ■Max Temperature (K) ・AIFEM: 353.2 ・Reference Value: 351.7 ■Max Displacement (mm) ・AIFEM: 7.65e-2 ・Reference Value: 7.42e-2 ■Max Stress (MPa) ・AIFEM: 134.7 ・Reference Value: 134.9 *For more details, please download the PDF or feel free to contact us.

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[Example] Efficient Optimization through Morphing 'CAESES'

[Example] Efficient Optimization through Morphing 'CAESES'

Only the modified parts of the existing shape are defined by parameters! Various shapes can be created.

We will introduce efficient optimization using morphing with "CAESES," which we provide. It is mainly used in the shipbuilding and maritime industry, but the majority of users focus on full parametric modeling. In morphing (partial parametric modeling), the deformation of imported existing geometry is performed. Therefore, only the modified parts of the existing shape are defined by parameters, allowing for the creation of various shapes. 【Previous Morphing Features】 ■ Shift transformations ■ Lackenby shift ■ Free-Foam deformation (FFD) ■ Cartesian shifts ■ Spot transformations *For more details, please download the PDF or feel free to contact us.

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[Case Study] Suitable Control of Power Plant Denitrification System 'DTEmpower'

[Case Study] Suitable Control of Power Plant Denitrification System 'DTEmpower'

A control method that combines "predictive control," "adaptive control," and "feedback correction" is effective!

Based on the issues in the de-NOx system of power plants, we will introduce solutions using the data analysis and modeling software "DTEmpower," as well as optimal control of the system. The de-NOx system has significant thermal hysteresis effects, making it difficult to construct physical and chemical models. Therefore, a control method that combines "predictive control," "optimal control," and "feedback correction" utilizing machine learning based on datasets is effective. As a result of applying data analysis, we can accurately and quickly predict changes in NOx concentration within the de-NOx system through machine learning, providing a reduction in the impact of the boiler's thermal hysteresis effect and optimizing rational system control. [Issues with the de-NOx System] - Unable to respond quickly to fluctuations in nitrogen oxide (NOx) concentration. - It is necessary to excessively spray ammonia at the flue gas outlet to reduce NOx concentration. - Excessive spraying of ammonia can lead to dust accumulation on the catalyst and clogging of the air preheater, resulting in decreased boiler operating efficiency and increased operational costs. *For more details, please download the PDF or feel free to contact us.

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[Case Study] Flow Field Analysis of Axial Flow Fan 'AICFD'

[Case Study] Flow Field Analysis of Axial Flow Fan 'AICFD'

Elevate the efficiency and performance of fan design with precise flow field analysis!

This introduction discusses the flow field analysis of axial fans using the general-purpose intelligent thermal fluid analysis software AICFD. Flow field analysis is an important means of visualizing and predicting the complex movement of fluids inside the fan. Through flow field analysis, detailed information such as turbulence, pressure loss, and temperature distribution can be obtained, allowing for early detection of issues during the design phase and the implementation of improvements. After the simulation is completed, post-processing can be performed on the same GUI, enabling efficient result verification. In addition to basic visualizations such as distribution maps, vector diagrams, and streamlines, the built-in post-processing function "TurboPost" for turbo machinery allows for even more advanced visualization of analysis results. *For more details, please download the PDF or feel free to contact us.*

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  • fan
  • Thermo-fluid analysis
  • soft

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DTEmpower Turbo Machinery Fault Diagnosis

DTEmpower Turbo Machinery Fault Diagnosis

Enhancing the monitoring and diagnosis of machinery leads to improved safety and reliability, as well as reduced operational and maintenance costs!

The in-house developed data modeling software DTEmpower is a data modeling platform designed for industrial users, developed by delving into the data modeling needs of industrial companies. DTEmpower offers a wide range of algorithms for data modeling, including data cleaning, feature extraction, feature selection, and model training. It enables the improvement of model quality while reducing the need for user experience through algorithm development for specific cases, an intelligent scheduling engine, and super reference optimization. DTEmpower is equipped with a complete set of diagnostic solutions for failure diagnosis of turbomachinery. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

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  • Other analyses
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Parametric modeling of turbine blade cooling structures

Parametric modeling of turbine blade cooling structures

Introduction to CAESES parametric modeling of blades with cooling structures for optimization!

In gas turbines and steam turbines, the design and optimization of blade cooling structures is a very important issue for designers. The first stage of the turbine can achieve high thermal efficiency as it withstands high temperatures, which opens up infinite possibilities for structural design and fine-tuning to prevent turbine damage under high temperatures and high centrifugal forces. One efficient method to solve this design problem is shape optimization, which involves automatically varying the design parameters of the cooling structure. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

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  • Structural Analysis
  • Turbine
  • soft

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Optimization of the turbine blade shape of the turbocharger.

Optimization of the turbine blade shape of the turbocharger.

Introduction to the combination of CFD and stress analysis, as well as scallop turbine wheels!

FRIENDSHIP SYSTEMS, the developer of CAESES, has collaborated with MTU and Darmstadt University of Technology to develop a robust and variable turbine wheel geometry for turbochargers. The research, called Project GAMMA ("Efficient Gas Engines for Maritime Applications of the Next Generation"), aims to develop and prepare new technologies and interactions within the system for LNG/natural gas, which serves as fuel for efficient ship propulsion systems. *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
  • Turbine
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Design of a centrifugal water pump

Design of a centrifugal water pump

Implementing the design process of a centrifugal water pump that maximally utilizes the capabilities of CAESES!

Centrifugal pumps are commonly used in industrial and household applications because their design, manufacturing, and maintenance are relatively simple. They also have the advantage of being efficient and easily adaptable to various sizes. Students from the Department of Transportation Systems at the Technical University of Berlin implemented the design process of a centrifugal water pump that maximizes the capabilities of CAESES as part of an internship project at FRIENDSHIP SYSTEMS, the developer of CAESES. *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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  • Structural Analysis
  • Other pumps
  • soft

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Parametric modeling of gear pumps

Parametric modeling of gear pumps

Introducing examples of analysis using modeled gear pumps and gear models based on involute curves!

This time, I will introduce parametric modeling, which is part of the gear pump optimization project. This project began with the customer's request to "optimize the design of the gear pump" and has progressed with a focus on gear modeling techniques, aiming to create a more functional and user-friendly model. *For detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

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  • Structural Analysis
  • Other pumps
  • soft

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Design of a water pump with a shrouded impeller.

Design of a water pump with a shrouded impeller.

Introducing the creation of parametric cross-sectional shapes, as well as the camber and thickness of blades!

In the shape optimization of water pumps with shrouded impellers, it is important to have an efficient parametric model with numerous design variables. This time, we will introduce the design/modeling of water pumps, which have many shape variations and a high degree of freedom for fine-tuning. With the optimization software CAESES, equipped with CAD functions, robust parametric models can be flexibly created while incorporating the designer's ideas, and it is utilized in various stages of the design process. *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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  • Structural Analysis
  • Other CAD
  • Other pumps
  • soft

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Optimization of globe valve shape

Optimization of globe valve shape

The purpose is to improve and investigate the performance of globe valves, connecting the cloud-based CFD solver SimScale with CAESES!

CAESES has been conducting optimization calculations for various types of valves and has implemented projects in collaboration with various companies. In this context, we would like to introduce one of the newly conducted projects, "Shape Optimization of a Globe Valve." This project was carried out in cooperation with GEMÜ Gebr. Müller Apparatebau, a German valve manufacturer and a global company specializing in aseptic valves, and SimScale, a leading engineering simulation company. *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 CAD
  • valve
  • soft

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Optimization of drone propeller shape

Optimization of drone propeller shape

Providing the right products to customers! Introducing the benefits and applications of CAESES at Parrot.

The French company Parrot, which specializes in the design and development of drones, uses CAESES for the design of drone propellers. The reason Parrot's engineers, who are experts in the drone market, adopted CAESES is to speed up the design process and provide customers with even more suitable products. Here, we will introduce the benefits and applications of CAESES at Parrot. *For detailed information, you can view the related links. For more details, please download the PDF or feel free to contact us.*

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  • Structural Analysis
  • Software (middle, driver, security, etc.)
  • soft

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Optimization design of assistive artificial hearts

Optimization design of assistive artificial hearts

Introducing the parametric model of the pump model and the evaluation of H-Q (Head-Flow) and T-Q (Torque-Flow)!

This article introduces the research and development of a ventricular assist device conducted by researchers at the Penn State College of Medicine using CAESES and CONVERGE. The goal of this research is to reduce the risk of adverse events such as hemolysis, degradation of von Willebrand factor, and thrombosis while minimizing the size of the pumps used in artificial hearts. To efficiently create a wide range of pump designs, CAESES has parameterized the flow path shape of the pump. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

  • 補助人工心臓の最適化設計2.png
  • 補助人工心臓の最適化設計3.png
  • 補助人工心臓の最適化設計4.png
  • Structural Analysis
  • Other analysis software
  • Other Pumps
  • soft

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Optimization of turbine blade shape

Optimization of turbine blade shape

Enabling optimization calculations of parametric models through automated processes!

In this case, we will introduce the shape optimization of gas turbine fixed blades, including end wall contouring, which is a joint project with SIEMENS. An efficient workflow using CAESES can provide significant support for design development. The gas turbine, which is the application in this instance, is a type of internal combustion engine used for driving generators, among other purposes. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.

  • タービンブレードの形状最適化2.gif
  • Turbine
  • soft

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Aerodynamic optimization of vertical axis wind turbines

Aerodynamic optimization of vertical axis wind turbines

CAESES can perform optimization calculations and support users in their design tasks!

In this case, we will introduce the optimization calculations for vertical axis wind turbines. FRIENDSHIP SYSTEMS, the developer of the optimization design system CAESES, investigated the aerodynamic behavior of vertical axis wind turbines using the mesh generation software Pointwise. As a first initiative, FRIENDSHIP SYSTEMS connected the automatic mesh generation by Pointwise with CAESES and executed a method to optimize vertical axis wind turbines in 2D using various tools, including analysis software. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

  • 垂直軸風力タービンの空力最適化2.png
  • 垂直軸風力タービンの空力最適化3.png
  • 垂直軸風力タービンの空力最適化4.png
  • Turbine
  • soft

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Optimization of the poppet valve

Optimization of the poppet valve

This article explains the design system based on the collaboration between the CFD solver SimericsMP and CAESES, based on actual research conducted!

The Italian company OMIQ SRL, which sells software, conducted research on an automatic design system using the poppet valve of high-pressure pumps developed by the Danish machinery manufacturer Danfoss. In this case, we will introduce the design system that integrates the CFD solver SimericsMP with CAESES based on the research that was actually conducted. The issue in this case is that the poppet valve exhibits unacceptable unstable behavior during operation. It was found that when the poppet valve attempts to open to its maximum displacement (27.5 mm), the instability of the flow increases, resulting in a decrease in pressure on the poppet valve, ultimately preventing the valve from fully opening (closing to about 6 mm remaining). This unstable phenomenon was verified through unsteady analysis using SimericsMP. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

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  • ポペットバルブの最適化4.gif
  • ポペットバルブの最適化5.gif
  • ポペットバルブの最適化6.gif
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  • ポペットバルブの最適化8.png
  • ポペットバルブの最適化9.png
  • ポペットバルブの最適化10.png
  • valve
  • soft

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Optimization of the Leading Edge for Boundary Layer Experiments on a Flat Plate

Optimization of the Leading Edge for Boundary Layer Experiments on a Flat Plate

When the minimum curvature radius is approximately 2.5mm, it is possible to prevent plastic deformation of the steel belt!

Predicting transitional boundary layers under arbitrary conditions in fluid mechanics is a very challenging task. A research group at Karlsruhe Institute of Technology conducted tests for predicting transitional boundary layers considering the effects of pressure gradients, mainstream turbulence, and surface roughness, using CAESES and the open-source OpenFOAM for suitable leading-edge shape optimization. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

  • 平板境界層実験のためのリーディングエッジの最適化2.png
  • 平板境界層実験のためのリーディングエッジの最適化3.png
  • 平板境界層実験のためのリーディングエッジの最適化4.png
  • 平板境界層実験のためのリーディングエッジの最適化5.png
  • 平板境界層実験のためのリーディングエッジの最適化6.png
  • 平板境界層実験のためのリーディングエッジの最適化7.png
  • 平板境界層実験のためのリーディングエッジの最適化8.png
  • others
  • soft

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A New Approach to the Design of sCO2 Axial Flow Turbines

A New Approach to the Design of sCO2 Axial Flow Turbines

Introducing a design case of a supercritical carbon dioxide axial flow turbine for waste heat recovery (WHR) in a 10MW class power plant!

In conventional thermal and nuclear power plants, steam and combustion gases are used as working fluids to drive turbines and generate electricity. In this case, we will introduce a design method for axial flow turbines using supercritical carbon dioxide (sCO2) as the working fluid, which reaches a supercritical state under relatively mild conditions using CAESES. The supercritical state exhibits properties that are intermediate between gas and liquid, and due to its high density and heat capacity, it has the potential to improve cycle efficiency compared to using gases below the critical point. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

  • sCO2軸流タービン設計のための新しいアプローチ2.png
  • sCO2軸流タービン設計のための新しいアプローチ3.png
  • sCO2軸流タービン設計のための新しいアプローチ4.png
  • sCO2軸流タービン設計のための新しいアプローチ5.png
  • sCO2軸流タービン設計のための新しいアプローチ6.png
  • Turbine
  • soft

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Design and optimization of valves

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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  • バルブの設計と最適化4.gif
  • バルブの設計と最適化5.gif
  • バルブの設計と最適化7.gif
  • バルブの設計と最適化8.gif
  • バルブの設計と最適化9.gif
  • バルブの設計と最適化10.gif
  • バルブの設計と最適化11.gif
  • valve
  • soft

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Optimization of the mixer

Optimization of the mixer

The results obtained show that the mixing time is 10% to 20% shorter than that of a standard industrial mixer!

The mixer is a widely used device, and its size and shape vary depending on the working environment. The parametric modeling in CAESES makes it easy to adjust its performance and enables optimization. By modeling in CAESES, structural changes can be adjusted by parameters, allowing for the easy acquisition of mixers suitable for various working environments. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

  • 攪拌機の最適化2.jpg
  • 攪拌機の最適化3.png
  • Mixer
  • soft

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Optimization Case of Centrifugal Compressor Impeller Using CAESES

Optimization Case of Centrifugal Compressor Impeller Using CAESES

By constructing a parametric model, it is also possible to optimize the entire compressor model!

Centrifugal compressors are compact yet feature a high pressure ratio, and they are widely used in systems in the fields of aircraft and marine vessels. Impeller design is a crucial design aspect of centrifugal compressors and has a significant impact on compressor performance. In this case, we conducted automatic performance optimization using CAESES combined with CFD tools on an existing centrifugal compressor impeller model. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

  • CAESESによる遠心圧縮機インペラの最適化事例2.png
  • CAESESによる遠心圧縮機インペラの最適化事例3.png
  • CAESESによる遠心圧縮機インペラの最適化事例4.png
  • CAESESによる遠心圧縮機インペラの最適化事例7.gif
  • CAESESによる遠心圧縮機インペラの最適化事例8.gif
  • CAESESによる遠心圧縮機インペラの最適化事例9.gif
  • CAESESによる遠心圧縮機インペラの最適化事例10.gif
  • Centrifugal concentrator
  • soft

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