Model predictive control of layer width in wire arc additive manufacturing

Authors

Chunyang Xia, University of WollongongFollow
Zengxi Stephen Pan, University of WollongongFollow
Shiyu Zhang, University of WollongongFollow
Joseph W. Polden, University of WollongongFollow
Long Wang, University of WollongongFollow
Hui Jun Li, University of WollongongFollow
Yanling Xu
Shanben Chen

RIS ID

144959

Publication Details

Xia, C., Pan, Z., Zhang, S., Polden, J., Wang, L., Li, H., Xu, Y. & Chen, S. (2020). Model predictive control of layer width in wire arc additive manufacturing. Journal of Manufacturing Processes, 58 179-186.

Abstract

© 2020 The Society of Manufacturing Engineers Wire arc additive manufacturing (WAAM) is an emerging technology in the manufacturing industry, which uses a welding arc as an energy source to fuse metal wire and deposit layer by layer. In order to promote its manufacture precision, stability, and repeatability, it's crucial to develop a feedback control strategy for WAAM. This research implements vision-based feedback control for the layer width during the WAAM process. A WAAM system is developed using a robot and CMT welder with a visual sensing system. The dynamics of the layer width in WAAM process is modeled experimentally. An ARX dynamic model is built. Based on this model, a model predictive control (MPC) strategy is derived to regulate the WAAM process. Feedback control experiments were conducted to verify the tracking and robustness performance of the proposed MPC algorithm.