Technical Write-up: Identifying unknown material properties using reverse engineering by combining materials databases and artificial intelligence

An article published in the latest edition of Futurities - Simulation-Based Engineering & Sciences Magazine, discusses in detail about using Virtual Material Testing and AI to predict the material properties of complex microstructures that are difficult to measure in practice.

Read the article here. Access the full magazine here. Webinar on the same topic here.

An excerpt from the article:

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. The diversity of input conditions increases the generalizability of the AI. In the present analysis, the matrix was assumed to have elastic properties, but in principle, non-linearities such as elasto-plasticity and viscoelasticity can be accommodated.

Moreover, since microstructure is not limited to FRP, it is possible to predict the material properties of various microstructures that are difficult to measure in practice.

Software used for the analysis: Ansys® software and Multiscale.Sim™ 

A webinar on the same topic was delivered on: 14 June 2023 ⇒ Watch the Recording

Speaker: Koji Yamamoto - Developer and Technology Specialist at CYBERNET SYSTEMS CO., LTD., Japan

Who might be interested in: Engineers involved in analysis, design and development using composite materials. Users of Ansys Workbench™, and other Ansys composite applications.

This webinar was hosted by EnginSoft SpA. and presented by CYBERNET Multiscale.Sim. Multiscale.Sim is an add-in tool for the Ansys Workbench™ environment developed by CYBERNET. CYBERNET SYSTEMS CO., LTD. is an Elite Channel Partner and a Software Partner of Ansys. Inquiries: cmas@cybernet.co.jp