U Of T Researchers Speed Up Design Of Next-gen Biomedical Implants, Aerospace Materials

Researchers at the University of Toronto are using machine learning to fast-track the development of advanced structural materials. The team has developed a novel end-to-end framework to tailor the microstructure of Ti-6Al-4V, the most widely used titanium alloy in the aerospace and biomedical industries. The framework is able to design optimal material microstructures with target mechanical properties in less than eight hours. The team was able to identify titanium alloy microstructures with both high strength and high stiffness for aircraft components, as well as compliant microstructures for biomedical implants.