Real-time distortion prediction achieved in metal additive manufacturing

A research team from Nanjing Tech University, a Chinese institution specializing in mechanical and power engineering research, has introduced a physics-informed neural operator (PINO) framework capable of predicting real-time distortion in Wire Arc Additive Manufacturing (WAAM)—also known as Directed Energy Deposition-Arc (DED-Arc). Published on arXiv, the study presents PIDeepONet-RNN, a model that forecasts thermo-mechanical distortion […]