We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for CAE software.
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CAE software Product List and Ranking from 13 Manufacturers, Suppliers and Companies

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

CAE software Manufacturer, Suppliers and Company Rankings

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

  1. null/null
  2. エヌ・エス・ティ Tokyo//software
  3. テラバイト Tokyo//software
  4. 4 テクノスター Tokyo//software
  5. 5 アルテアエンジニアリング Tokyo//software

CAE software Product ranking

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

  1. [Example] Analysis of Aluminum Frame Structure エヌ・エス・ティ
  2. General-purpose CAE software "Jupiter" [ domestically developed in-house ] テクノスター
  3. GUI software for OpenFOAM users テラバイト
  4. Artificial Intelligence 'Ansys SimAI'
  5. 5 Ansys Cloud Solution

CAE software Product List

121~135 item / All 172 items

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[Example] CAD model generation from engine block STL data

Even with complex shapes, you can obtain smooth and highly accurate CAD data by combining crease editing!

Software that responds to the many requests from customers for "CAD return" We will introduce a case of outputting CAD data from STL data using "S-Generator." For the crease settings, we prioritize the extraction of the analysis surface first, outlining holes and other features with creases while extracting cylindrical and planar surfaces, which are then recognized as analysis surfaces after CAD data output. After that, we add creases in the desired locations where we want corners to appear on the resulting surfaces. Additionally, various analysis surfaces such as cylindrical and planar surfaces are color-coded differently from the regular crease lines, making verification easy. 【Case Overview】 ■STL Model - Engine Block- ・Number of triangular patches: 492,886 ■Time taken for crease settings and analysis surface extraction: 4 hours (manual work) *For more details, please refer to the detailed materials available for download as a PDF or feel free to contact us.

  • Structural Analysis

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[Example] Generation of CAD model for topology optimization results of a chair.

Utilize the generated surface! It is possible to perform verification analysis by generating a mesh.

We will introduce a case where the surface of the shape obtained from topology optimization analysis was smoothed, and CAD models for verification analysis and STL data for 3D printing were created. The generated curved surface can be treated as a solid body in CAD software, allowing for verification analysis by generating a mesh. Additionally, by outputting the STL data after smoothing the surface, it can be produced using a 3D printer. 【Work Contents】 ■ Initial STL ■ Fold settings ■ Editing of small holes ■ Smoothing ■ Editing of thin members ■ Generated curved surface *For more details, please refer to the PDF document or feel free to contact us.

  • Structural Analysis

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[Column] The Theory of OPTISHAPE-TS: Norm Spaces and Inner Product Spaces

Explanation of spaces where norms and inner products are defined! Introduction to a technical column.

In the previous article, we explained the concept of "space" in modern mathematics. The concept of a set exists as "a collection of specific things," and among them, those that can establish some kind of relationship between the elements belonging to it are specifically called "spaces." Additionally, we introduced "linear spaces" and "metric spaces" as concrete examples of spaces. In this article, we will further discuss spaces where norms and inner products are defined. Please feel free to download and take a look. [Contents] ■ Episode 10: What is the H1 Gradient Method? Part 3 "Norm Spaces and Inner Product Spaces" *For more details, please refer to the PDF materials or feel free to contact us.

  • Structural Analysis

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[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, we 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 finite element models (number of nodes, number of elements). In this article, we will explain the optimization algorithms to solve 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 document or feel free to contact us.

  • Structural Analysis

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

An explanation of the important property of completeness in the nature of space! Introduction to a technical column.

In the previous article, we explained normed spaces and inner product spaces. A normed space is a space equipped with a norm that generalizes the concept of size, while an inner product space is a space equipped with an inner product. In this article, we will discuss the important property of completeness among these spaces. Please feel free to download and take a look. [Contents] ■ Episode 11: What is the H1 Gradient Method? Part 4 "Completeness" *For more details, please refer to the PDF document or feel free to contact us.

  • Structural Analysis

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[Technical Column] Optimization Algorithm Using the H1 Gradient Method

An overview of the structural optimization algorithm used in OPTISHAPE-TS! Introduction to the technical column.

In the previous articles, we explained the theoretical background of the H1 gradient method. Since the discussion has been quite mathematically intricate, in this article, we will introduce a more approachable topic: an overview of the structural optimization algorithm used in OPTISHAPE-TS. Please feel free to download and take a look. 【Contents】 <Chapter 17: Optimization Algorithm Using the H1 Gradient Method> ■ Solve the state equations and calculate the value of the evaluation function ■ Solve the adjoint equations and calculate the sensitivity of the evaluation function ■ Calculate the variation of design variables using the H1 gradient method ■ Calculate the weighting coefficients for the variations ■ Update the design variables ■ Satisfy any unmet constraint functions *For more details, please refer to the PDF document or feel free to contact us.

  • Structural Analysis

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