Model-based parameter optimization for arc welding process simulation
Fiona F Chen, Junting Xiang, David G Thomas, Anthony B Murphy
Applied Mathematical Modelling | Elsevier | Published : 2020
This paper presents a model-based parameter optimization for simulating a metal-inert gas welding process. The computational model used in this study is based on computational fluid dynamics methods and implemented using the finite volume approach on a 3D computational domain. The wire electrode, the arc plasma and the workpiece are treated as a self-consistent system. Important welding parameters, including arc current, wire feed rate, workpiece thickness, welding speed and geometry, as well as the metal alloy types used for the wire and workpiece, were implemented as adjustable parameters. By tuning these parameters, the performance of the arc welding can be predicted, and different settin..View full abstract
The authors gratefully acknowledge the support of the Australian Government's Cooperative Research Centres Program and funding from the Rail Manufacturing CRC and CRRC Qishuyan Institute. We would also like to thank Dr Hui -Ping Wang from General Motor for providing the cross-sectional images shown in Fig. 3 and Dr. Jiaqi Ge from CRRC Qishuyan Insitute for providing the cross-section image shown in Fig. 8(a).