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Spring 2023 | Product peek

Identifying unknown material properties using reverse engineering by combining materials databases and artificial intelligence

by Koji Yamamoto, CYBERNET SYSTEMS
Futurities Year 20 n°1, Spring 2023

In this article, two analyses were performed to establish a highly accurate method for predicting the static strength of composite materials using virtual material testing, and the results are presented.

Virtual material testing is very useful for generating the large amount of material test data required for inverse identification analysis. Not only can the tests be done in a short time, but they are also easy to conduct under any conditions.

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Multiscale.Sim

A new tool for Ansys that facilitates materials testing and microscopic analysis of composite materials

Using this technique, all material constants can be evaluated without expensive experimental campaigns.

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CASE STUDY

Filling and compression analysis of metallic powders composed of spherical particles

The efficiency of material design can be greatly improved by using FEM-based virtual material testing analysis

This article presents an example of the analysis of a powder composed of spherical particles. Since powders have a very fine heterogeneous structure, a multi-scale approach based on homogenization analysis is proposed.

multiscale ansys mechanics