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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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software

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.

multiscale composites

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CASE STUDY

DEM-FEM coupling for simulating the manufacturing process of all-solid-state batteries

The article discusses advancements in all-solid-state batteries (ASSBs) as safe energy storage solutions, highlighting the challenges in achieving high ion conductivity compared to conventional lithium-ion batteries (LIBs). While ASSBs offer safety and high energy density, issues such as internal resistance and low ionic conductivity hinder their performance.

energy multiscale

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