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.


© 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.



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