Machine learning and reduced order computation of a friction stir welding model

Xiulei Cao, Kirk Fraser, Zilong Song, Chris Drummond, Huaxiong Huang

Abstract: Highlights•A fiction stir welding model with coupled fluid flow and heat transfer is used for parametric study.•A combination of model reduction and machine learning techniques is shown to be effective.•Proper orthogonal decomposition (POD) can reduce the computational time by 70%.•An artificial neural network (ANN) provides an efficient alternative to search over the parameter space.