EIT EndureIT - Machine learning steel embrittlement simulation survey

The EIT Raw Materials EndureIT project develops machine learning based steel embrittlement prediction software. The project consortium includes KTH, CEA, Ferritico and Outokumpu.

This survey investigates the market demand for machine learning steel properties simulation support, focusing on embrittlement, and is hosted by EndureIT machine learning partner Ferritico. Your answers will be a highly valuable contribution to the EndureIT development.

Do you have questions? Please email contact@ferritico.com

Question Title

* 1. What is your role(s) in the steel industry?

Steel development

Steel product design

Steel manufacturing

Post-processing, implementation and assembly of products containing steel components

End-user of steel products

Steel research

Developing software for the steel industry, e.g. FEM software

Other (please specify)

Question Title

* 2. Are you doing simulations in your work, i.e. approximate imitation or prediction of the behaviour of a process or a material, based on steel properties (chemical, mechanical, physical or thermodynamical) or degradation mechanisms?

Yes

Don't know