Analysis Software Product List and Ranking from 163 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
This ranking is based on the number of page views on our site.

Analysis Software Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
This ranking is based on the number of page views on our site.

  1. 応用計測サービス Saitama//Other construction industries
  2. JIPテクノサイエンス Tokyo//Information and Communications
  3. アドバンスドナレッジ研究所 Tokyo//Building materials, supplies and fixtures manufacturers
  4. 4 B7 Tokyo//Information and Communications
  5. 5 エルメック Tokyo//others
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Analysis Software Product ranking

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
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. Hard Bone Inclusion Abnormal Sound Detection System エルメック
  3. "EnergyWin" power plant thermal efficiency analysis technical support 電力テクノシステムズ
  4. 4 Thermal Fluid Analysis Software 'FlowDesigner' アドバンスドナレッジ研究所
  5. 5 Ground analysis software 'PLAXIS' *Introduction of slope stability analysis case studies JIPテクノサイエンス

Analysis Software Product List

346～360 item / All 801 items

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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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The theory of OPTISHAPE-TS: Evaluating the maximum value of the KS function.

The theory of OPTISHAPE-TS: Evaluating the maximum value of the KS function.

Introduction to the evaluation method for maximum values using something called the KS function!

In OPTISHAPE-TS, it is possible to evaluate the maximum values of functions distributed over the model, such as "maximum Mises stress" and "maximum displacement." However, if we literally use the maximum value as the evaluation function, we will not be able to evaluate the derivatives, making it impossible to determine sensitivity. This time, I will introduce a method for evaluating maximum values using a function called the KS function, which is adopted in OPTISHAPE-TS. Please feel free to download and take a look. [Contents] ■ Episode 18 Evaluating the Maximum Value of Functions: KS Function *For more details, please refer to the PDF document or feel free to contact us.

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Theory of OPTISHAPE-TS Compliance Sensitivity Part 3

Theory of OPTISHAPE-TS Compliance Sensitivity Part 3

Sensitivity of compliance for a one-dimensional cantilever beam! Explanation of the derivation approach.

In the previous article, we introduced the Lagrange multiplier method as a condition that the solutions of optimization problems with equality constraints should satisfy. This time, we will apply that concept to derive the sensitivity of compliance. Please feel free to download and take a look. [Contents] ■ Episode 25 Sensitivity of Compliance Part 3 "Lagrange Multiplier Method" *For more details, please refer to the PDF document or feel free to contact us.

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Theory of OPTISHAPE-TS Compliance Sensitivity Part 4

Theory of OPTISHAPE-TS Compliance Sensitivity Part 4

Introduction to a technical column on problems involving design variables represented by functions!

In the previous articles, we explained the compliance and its sensitivity when introducing two-dimensional design variables for a one-dimensional cantilever beam. This time, we will finally replace the design variables from a finite-dimensional vector to an infinite-dimensional function and construct the problem. Please feel free to download and take a look. [Contents] ■ Episode 26 Sensitivity of Compliance Part 4 "Problems with Design Variables Represented by Functions" *For more details, please refer to the PDF document or feel free to contact us.

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Thermal and fluid analysis software for design verification: FloEFD

Thermal and fluid analysis software for design verification: FloEFD

FloEFD is a user-friendly thermal and fluid analysis software for designers!

For example, when considering the thermal cooling of LEDs, when conceptualizing the design of blades, or when presenting the efficiency of a new heat exchanger at a design review, FloEFD will be a great assistant for you as a designer. It is fully integrated with 3D CAD (CATIA V5, Creo (formerly Pro/ENGINEER), NX), allowing you to set conditions directly on the model without the need to learn separate operations, enabling immediate thermal fluid analysis.

  • Other analytical equipment
  • Scientific Calculation and Simulation Software

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Abaqus Unified FEA, an integrated finite element analysis software.

Abaqus Unified FEA, an integrated finite element analysis software.

This is an introduction to a suite of integrated finite element method products consisting of Abaqus/CAE.

"Abaqus Unified FEA" is a complete solution for realistic simulation. It provides a powerful suite of solutions that covers a wide range of industrial applications, from routine analyses to advanced engineering problems. By organizing and integrating your processes and tools, you can improve inefficiencies, reduce costs, and secure competitiveness. 【Features】 ■ An integrated finite element method product group consisting of Abaqus/CAE, dedicated to pre/post processing for Abaqus ■ Achieves high-precision simulations ■ Significantly contributes to reducing development time and costs by decreasing the number of prototypes/experiments ■ Provides solutions for realistic simulation For more details, please contact us or download the catalog.

  • Scientific Calculation and Simulation Software

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HELYX

HELYX

HELYX is changing the world of open-source CFD.

HELYX is a tool for the practical application of the open-source OpenFOAM. It is a low-cost CFD software capable of handling large-scale computations, featuring an improved meshing function (enhanced snappyHexMesh), an extended solver, and a user-friendly GUI unique to HELYX, all of which have been improved in over 1000 aspects of OpenFOAM. == HELYX Product Composition == 1) Helyx-GUI (Unique HELYX Features) 2) Helyx-Core (Enhanced OpenFOAM Features) - High-performance snappyHexMesh improved from OpenFOAM - Various boundary conditions and solvers improved from OpenFOAM 3) Support and Tutorials ===================================

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CAE Technology Research Conference 2016 (Free Participation Fee)

CAE Technology Research Conference 2016 (Free Participation Fee)

The keynote speech will feature hot topics on the science of sports and presentations on fire simulation research.

CAE Utilization Technology Research Conference 2016 "Let's Talk about CAE in Kudanshita!" / "6th DADiSP Utilization Technology Research Conference" The CAE Utilization Technology Research Conference is celebrating its 6th year since the DADiSP Utilization Technology Research Conference. We have many user case studies planned. This event is packed with useful and up-to-date information on cloud CAE, composite materials, optimization, and more, which you won't hear elsewhere. ＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝ ● Date and Time: August 5, 2016 (Friday) 10:00 AM - 5:30 PM (Networking event from 5:30 PM) ● Capacity: 80 participants ● Venue: Hotel Grand Palace 1-1-1 Iidabashi, Chiyoda-ku, Tokyo (• 1-minute walk from Kudanshita Station on the Tokyo Metro Tozai Line, Exit 7 (Fujimi Exit)) ● Registration: http://www.cae-sc.com/events/cae-conf-2016.html ■ Organized by: CAE Solutions Co., Ltd.

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Aspherix

Aspherix

Latest DEM analysis solver. Capable of simulating the shapes and mixing states of complex particles and powders in civil engineering, chemistry, food, pharmaceuticals, and more! Coupling with fluids is also possible.

Aspherix, released in 2020 by the Austrian company DCS, which promotes the open-source projects CFDEMproject and LIGGGHTS, is a commercial DEM analysis software designed to simulate complex particle shapes and particle behavior in multiphase flows through collaboration with CFDEMcoupling. The domestic distributor, CAE Solutions, will leverage its experience in contracted analysis and support for CFDEM, LIGGGHTS, and OpenFOAM to promote the use of particle and powder simulation, which is increasingly in demand in civil engineering, chemistry, food, and pharmaceuticals. Note: Product names and other terms are registered trademarks of their respective manufacturers and organizations.

  • Scientific Calculation and Simulation Software
  • Architectural Design Software

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3D Ion Beam Trajectory Analysis Software / μ-Beam

3D Ion Beam Trajectory Analysis Software / μ-Beam

Consider the ion trajectories in electrostatic fields and magnetic fields, dielectrics, electrodes, conductors, coils, magnets, magnetic materials, and space charge!

μ-Beam is a three-dimensional trajectory analysis module for charged particles that takes into account space charge. It can simulate ion beam control. μ-Beam is the trajectory analysis module within the electromagnetic field analysis system μ-MF by Mutech. 【Features】 - Trajectory analysis of charged particles in electric and magnetic fields - Input functions for initial position, initial velocity, and assigned current of charged particles - Function to read condition setting CSV files from Excel - Specification of calculation range and automatic calculation stop function - Trajectory analysis considering classical and relativistic effects - The trajectory calculation method employs Runge-Kutta *For more details, please request materials or view the PDF data available for download.

  • Scientific Calculation and Simulation Software

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