Tag: Machine learning

17-4 PH stainless steel specimens fabricated during Senvol’s AMMP program.

Machine learning software accurately predicts material performance

Senvol recently demonstrated a machine learning approach to material allowables development that was shown to be more flexible, cost-effective, and time-effective than the conventional approach.
Steel making

Solving materials challenges with Artificial Intelligence

A new research project named Swedish Metal is being launched by Sandvik, SSAB and the University of Skövde. Artificial Intelligence, Big Data and machine learning will allow unique and comprehensive production data analyses to be made. These analyses will hopefully show new cause-and-effect relationships – which can lead to more efficient and sustainable steelmaking processes.