Materials 4.0 and Multiscale Modelling

Digital material development and manufacturing of titanium alloys as well as multi-scale modelling of titanium are addressed in this topic. Developing new materials and processes by a conventional experimental approach remains a slow and expensive process requiring validation at the lab-scale prior to any form of process scale-up. Consequently, a long-term development cycle for safety-critical applications is required. By a combination of machine learning, materials modelling and experiments, alloy and process development could become much faster. Related work will be presented in this conference topic. In addition, titanium-related simulations at different length scales from density functional theory and molecular dynamics to more macroscopic simulations of parts as well as material modelling are to be discussed in this topic.