Digital twin inference from multi-physical simulation data of DED additive manufacturing processes with neural ODEs

Understand

A digital twin is a virtual representation that accurately replicates its physical counterpart, fostering bi-directional real-time data exchange throughout the entire process lifecycle.

• For Laser Directed Energy Deposition of Wire (DED-LB/w) additive manufacturing processes, digital twins may help to control the residual stress design in build parts.
• This study focuses on providing faster-than-real-time and highly accurate surrogate models for the formation of residual stresses by employing neural ordinary differential equations.
• The approach enables accurate prediction of temperatures and altered structural properties like stress tensor components.