Analysis software Product List and Ranking from 43 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

Analysis software Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. JIPテクノサイエンス Tokyo//Information and Communications
  2. 応用計測サービス Saitama//Other construction industries
  3. ミューテック Kanagawa//Facility Design Office
  4. 4 日本イーエスアイ Tokyo//others
  5. 5 ジツタ 東京営業所 Tokyo//Information and Communications
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Analysis software Product ranking

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. General-purpose linear and nonlinear structural analysis system "DIANA" JIPテクノサイエンス
  2. GNSS measurement system "ARUQ" ジツタ 東京営業所
  3. Pressure Meter Testing Device "AUTO LLT2" 応用計測サービス
  4. Nice seal Type B, Type D, Type E (strip type) 応用計測サービス
  5. 4 Rust Degree Automatic Assessment Solution "AIJO Check Rust" COMSYS JOHO SYSTEM Corporation

Analysis software Product List

331～345 item / All 787 items

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Explanation material "Causes of Designer CAE Failures and Points of Success" *Currently distributed*

Explanation material "Causes of Designer CAE Failures and Points of Success" *Currently distributed*

Introducing the selection points for CAE with illustrations. Information on low-cost platforms equipped with abundant features is also included.

We are currently distributing materials that outline key points to consider for efficiently advancing product development using "CAE." The materials introduce common post-implementation concerns in a conversational format, while clearly explaining the points to consider in order to solve these issues, making it easy for beginners to understand. [Contents] ■ Story at the time of implementation (during/after implementation) ■ Common post-implementation concerns ■ Examples of points for success ■ Introduction to ANSYS Discovery *For more details, please refer to the materials. Feel free to contact us with any inquiries.

  • Company：IDAJ
  • Price：Other
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Integrated Electromagnetic Field Analysis Solution Ansys Electronics

Integrated Electromagnetic Field Analysis Solution Ansys Electronics

A group of electromagnetic field analysis software that leads the industry with high speed and cost efficiency.

3D models of antennas, connectors, waveguides, motors, busbars, and a wide range of products such as circuit boards and semiconductor packages can be analyzed, and to accommodate various electromagnetic field analyses, we provide four software options: Ansys HFSS, Ansys Maxwell, Ansys SIwave, and Ansys Q3D Extractor, tailored to the analysis target. The low-frequency and high-frequency analysis spaces are distinguished by the size of the analysis space relative to the wavelength; in the low-frequency region, the electromagnetic field is uniformly distributed within the space, while in the high-frequency region, the electromagnetic field is distributed as waves. With Ansys's electromagnetic field solutions, you can efficiently analyze by selecting the appropriate software for the analysis space size and using solvers suited to the analysis target.

  • Company：IDAJ
  • Price：Other
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Digital Aerosol Photometer "Model 2i"

Digital Aerosol Photometer "Model 2i"

Supports measurements in harmful environments! Equipped with a color LCD display for easy operation.

The "Model 2i" is a cutting-edge and user-friendly digital aerosol photometer that serves as a mainstream filter leak testing device in countries around the world. It is designed with consideration for measurements in hazardous environments, such as facilities handling radioactive materials and highly pharmacologically active substances. Additionally, contaminated sampling parts can be safely replaced. Furthermore, our company also offers the "TDA series," a multi-dispersed aerosol generator. 【Features】 ■ Innovative user interface ■ Adoption of iProbe ■ Compatible with HEPA filter integrity testing ■ Enables more stable aerosol measurements ■ Suitable for measurements in harmful environments *For more details, please refer to the PDF materials or feel free to contact us.

  • Other measuring instruments

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Image-based structural analysis software 'VOXELCON'

Image-based structural analysis software 'VOXELCON'

Easy modeling of any shape! 3D editing, analysis, measurement, and material property calculation of CT images based on images.

"VOXELCON" is a powerful image-based structural analysis software that directly models and utilizes CT images obtained from physical objects and STL data from CAD for analysis and measurement. It is equipped with a variety of reverse engineering functions as structural analysis and measurement features. It is effective in various scenarios, from cast products to composite materials, and from the design stage to quality control. Additionally, voxel segmentation is ultra-fast, capable of creating a mesh of 100 million voxels in just a few seconds, and is extremely robust, resulting in very few failures. 【Features】 ■ Direct use of physical data ■ Various reverse engineering functions ■ Ultra-fast and robust voxel segmentation ■ Large-scale solver included ■ Cutting-edge multi-scale analysis *For more details, please refer to the related links or feel free to contact us.

  • Analysis and prediction system

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[Case Study] Analysis of Complex Shape Models - Reducing Labor Costs -

[Case Study] Analysis of Complex Shape Models - Reducing Labor Costs -

"VOXELCON" is a structural analysis software that directly models STL data from CT and CAD for analysis and measurement purposes.

When creating an analysis model by mesh partitioning from a detailed CAD model created as design data, the following issues can be noted: - The number of elements becomes enormous, leading to high computational costs. - Mesh partitioning is difficult and requires the tips and techniques of experienced users. Additionally, the analysis results depend on the mesh partitioning. - In some cases, automatic element partitioning is not possible. However, even if you try to analyze using a simplified shape... - The effort required for simplification is significant. - Evaluating the impact of simplification on analysis accuracy is cumbersome. These issues can be resolved by VOXELCON's voxel mesh generation technology. Even complex shapes can be easily converted into analysis models, reducing the man-hours required for analysis. *For more details, please refer to the related links or feel free to contact us.

  • Analysis and prediction system

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[Case Study] Shape optimization for equalizing reaction forces ★ Detailed materials available

[Case Study] Shape optimization for equalizing reaction forces ★ Detailed materials available

Consider "reaction force" as a manufacturing requirement! Reduce the reaction force values at points with high fixed-point reaction forces!

We will perform non-parametric shape optimization to ensure that the reaction forces at the bolted fixed points are equal, and we will introduce a case that reduces the reaction force values at the locations with high fixed point reaction forces. The analysis model completely fixes four bolted points and applies a load of 1,000N in the Z-axis direction. In the evaluation of the initial shape, the reaction force value at the lower left part was the largest, reaching 415.1N. 【Case Overview】 ■Optimization Conditions - Objective Function: Volume Minimization - Constraints: Reaction force of 250N in the Z-axis direction at each fixed point, 3.0 times the compliance of the initial shape - Shape Variation Restrictions (constraints related to manufacturing requirements): Minimum thickness, maintaining the plane of the Z component on one side For further details, please refer to the PDF document or feel free to contact us.

  • Scientific Calculation and Simulation Software

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Example: Material Data Correlation - Identification of Heat Transfer Coefficient

Example: Material Data Correlation - Identification of Heat Transfer Coefficient

We identify parameters that change with environmental and analytical conditions. Not only the heat transfer coefficient but also the stress-strain curve in elastoplastic analysis can be identified!

The heat transfer coefficient depends on the surrounding environment and is not unique to the material, making it difficult to determine its value. If a heat transfer coefficient that can reproduce the measurement results can be identified, it is expected that good simulation results can be obtained for another model under similar environmental conditions. In this case, the general-purpose parameter optimization software "AMDESS" was linked with "Nastran" to identify the heat transfer coefficient. As a result, the temperature at the evaluation points matched the target value within an error of 0.3%, and the heat transfer coefficients for each surface were obtained. 【Optimization Conditions】 ■ Design Variables - Heat transfer coefficients for each surface (h1 to h6) - Range: 10.0 to 70.0 [W/m²K] ■ Objective Function: Minimize the squared error from the target temperature at each evaluation point = Bring the calculated temperature closer to the specified target temperature *For more details, please refer to the PDF document or feel free to contact us.

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[Example] Shape optimization considering stress

[Example] Shape optimization considering stress

Using "OPTISHAPE-TS"! Introducing optimization cases with different stress constraints based on model parts.

In strength design, stress serves as an important guideline. When performing strength assessments based on stress, it is necessary to change the evaluation stress values according to different parts, not just relying on the maximum value. In such cases, by specifying constraint stress values for each region, it is possible to obtain an optimal shape that constrains stress at multiple evaluation points and all locations. This time, we will introduce an optimization case that applies different stress constraints based on the model's parts. [Contents] ■ Overview ■ Analysis Model ■ Optimization Conditions ■ Results ■ Discussion *Detailed information about the case can be viewed through the related links. For more information, please feel free to contact us.

  • Analysis and prediction system
  • Scientific Calculation and Simulation Software
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[Case Study] Accuracy Verification of Stress Using Finite Covering Method (FCM)

[Case Study] Accuracy Verification of Stress Using Finite Covering Method (FCM)

Compared to the finite element method (FEM)! Verified with models using three patterns of voxel sizes.

Finite element analysis using voxels has the advantage of being easy to operate, fast, and not incurring human costs; however, it also has the disadvantage of causing stress wave phenomena. To eliminate this disadvantage, we apply the Finite Covering Method (FCM) to improve analysis accuracy. Here, we will verify how the analysis accuracy is improved by using the Finite Covering Method (FCM) while changing the mesh size and comparing it with the Finite Element Method (FEM). [Contents] ■ Overview ■ Analysis Model ■ Analysis Results *Detailed information about the case study can be viewed through the related links. For more details, please feel free to contact us.

  • Analysis and prediction system

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[Case Study] Accuracy Verification of Displacement and Temperature Using Finite Covering Method (FCM)

[Case Study] Accuracy Verification of Displacement and Temperature Using Finite Covering Method (FCM)

I will introduce the issues with voxel analysis and a case study applying FCM as a solution!

The displacement solution of static stress analysis, or the temperature solution of steady-state heat conduction analysis, generally does not produce significant errors as long as the shape is accurately represented. However, there are cases where errors can become substantial. When the original shape does not match the voxel pitch, discrepancies in the shape occur. Therefore, to achieve better accuracy in the analysis, it is necessary to refine the mesh, which increases the model size. Here, we will introduce a case study applying FCM as a solution to this issue. 【Contents】 ■ Overview - Issues with voxel analysis ■ Analysis Model - Boundary conditions ■ Analysis Results - Static stress analysis / Steady-state heat conduction analysis *Detailed information about the case study can be viewed through the related links. For more information, please feel free to contact us.

  • Analysis and prediction system

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Example: Injection Molding - Reducing clamping force to downsize the molding machine.

Example: Injection Molding - Reducing clamping force to downsize the molding machine.

We will collaborate with 3D TIMON to explore gate positions that can be injected even with small molding machines, thereby reducing production costs.

Optimizing molding conditions parametrically in resin flow analysis can be relatively easily achieved, but automatically changing the shape of the cavity and the arrangement of the runner while optimizing is challenging. To facilitate these optimizations, we developed "AMDESS for 3D TIMON" in collaboration with Toray Engineering Co., Ltd. Here, we will introduce a case study of optimizing the gate position to minimize clamping force while automatically re-modeling the runner when changing the gate position. [Contents] ■ Overview ■ Analysis Model ■ Optimization Conditions ■ Results ■ Discussion *Detailed information about the case study can be viewed through the related links. For more information, please feel free to contact us.

  • Analysis and prediction system

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[Column] The Theory of OPTISHAPE-TS: Checkerboard Phenomenon

[Column] The Theory of OPTISHAPE-TS: Checkerboard Phenomenon

I will explain the difficulties of non-parametric optimization from another perspective!

In the previous sections, we explained that in non-parametric optimization, the number of design variables to be determined is large, meaning that the dimensionality of the search space is high, which is why optimization algorithms using sensitivity are employed. In this article, we will further explain the difficulties of non-parametric optimization from another perspective. Please feel free to download and take a look. [Contents] ■ Episode 4: The Difficulty of Non-Parametric Optimization Part 3 "Checkerboard Phenomenon" *For more details, please refer to the PDF document or feel free to contact us.

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[Technical Column] The Theory of OPTISHAPE-TS: "Time Complexity"

[Technical Column] The Theory of OPTISHAPE-TS: "Time Complexity"

A simple analysis example of using an optimization algorithm for the number of trials is also included!

In the previous discussions, I explained that non-parametric optimization, mathematically, is optimization focused on functions, and in practice, it becomes a problem of finding a number of design variables comparable to the scale of the finite element model (number of nodes, number of elements). In this article, I will explain the optimization algorithms for solving such problems. Please feel free to download and take a look. [Contents] ■ Episode 3: The Difficulty of Non-Parametric Optimization Part 2 "Time Complexity" *For more details, please refer to the PDF materials or feel free to contact us.

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[Technical Column] The Theory of OPTISHAPE-TS: "Shape Optimization"

[Technical Column] The Theory of OPTISHAPE-TS: "Shape Optimization"

An explanation of what the gradient method specifically entails! Introduction to a technical column.

In the previous four articles, we discussed the challenges of non-parametric optimization and the positioning of the H1 gradient method as a solution. From here, we will explain specifically what the H1 gradient method entails. Please feel free to download and take a look. [Contents] ■ Episode 6: The Emergence of the H1 Gradient Method and Its Background Part 1 "Shape Optimization" *For more details, please refer to the PDF document or feel free to contact us.

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[Column] The Theory of OPTISHAPE-TS: "What is H1 in the first place?"

[Column] The Theory of OPTISHAPE-TS: "What is H1 in the first place?"

An explanation of the function space H1 from several perspectives! Introduction to a technical column.

In the previous two articles, I explained what the H1 gradient method is in shape optimization and topology optimization, along with its historical background. In this article, I will explain what "H1" in the H1 gradient method refers to. Please feel free to download and take a look. [Contents] ■ Episode 8: What is the H1 Gradient Method? Part 1 "What is H1 in the first place?" *For more details, please refer to the PDF document or feel free to contact us.

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