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  6. Aries 3D Surrogate Model Analysis Operation Demo

Aries 3D Surrogate Model Analysis Operation Demo

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last updated:Feb 07, 2024

アストライアーソフトウエア
アストライアーソフトウエア
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Attention all 3D CAD engineers in the automotive, machinery, and electronics fields! Significantly reduce analysis execution time by utilizing AI models in simulations!

This is a simulation operation instruction video for cantilever beam components using the Aries 3D Surrogate Model product. It utilizes AI that has learned from past simulation results to instantly predict the deformation and stress of the cantilever beam model.

    Other CAD related softwaresimulator
製品バナーサロゲートモデル.png

Aries 3D Surrogate Model Analysis Operation Demo

製品バナーサロゲートモデル.png
製品バナーサロゲートモデル.png
  • Related Link - https://www.astraea-soft.com/prod-surrogate

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basic information

The Aries 3D Surrogate Model is a product developed with the intention of training AI using simulation results obtained from existing CAE analysis solvers, and then using the trained AI model to conduct similar simulations. By utilizing AI for simulations, it significantly reduces computation time and prevents analysis results from stopping due to divergence, as it only requires simple multiplication. Additionally, it can directly learn from the mesh as an AI model, representing features such as materials and edge lengths. 【Features】 ■ Significant reduction in analysis execution time ■ Stability of analysis processing ■ Improved ease of use ■ Reduction in analysis resources

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There is a track record of employment with automobile manufacturers.

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Aries 3D Surrogate Model Introduction Materials

Aries 3D Surrogate Model Introduction Materials

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Surrogate Model Introduction Materials

Surrogate Model Introduction Materials

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About surrogate models using PINNs (Physics-Informed Neural Networks)

About surrogate models using PINNs (Physics-Informed Neural Networks)

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Parametric model validation using PINNs: Report on a proprietary PINNs surrogate model.

Parametric model validation using PINNs: Report on a proprietary PINNs surrogate model.

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アストライアーソフトウエア

アストライアーソフトウエア

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In the manufacturing industry, the use of three-dimensional data such as 3D CAD data is becoming widespread, but in AI, the use of two-dimensional data is mainstream, and the use of three-dimensional data is still not in sight. Our company is considering how to make better use of 3D CAD data in the manufacturing industry and contribute to improving QCD, and we are conducting research and development on three-dimensional shape recognition technology using AI and deep learning. Based on the latest AI research results, our company has successfully developed a three-dimensional AI model that can recognize three-dimensional shape data. With this groundbreaking three-dimensional AI technology, we will spread three-dimensional AI throughout the engineering chain centered on CAD, CAM, and CAE, contributing to the improvement of QCD. Moreover, three-dimensional AI is a new technology, and its potential is limitless. We will promote research and development of three-dimensional AI and spread this pioneering three-dimensional AI technology not only in the manufacturing industry but also in many other industries, contributing to the improvement of QCD.

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