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Model predictive control of layer width in wire arc additive manufacturing

Journal Article


Abstract


  • 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.

Publication Date


  • 2020

Citation


  • Xia, C., Pan, Z., Zhang, S., Polden, J., Wang, L., Li, H., . . . Chen, S. (2020). Model predictive control of layer width in wire arc additive manufacturing. Journal of Manufacturing Processes, 58, 179-186. doi:10.1016/j.jmapro.2020.07.060

Scopus Eid


  • 2-s2.0-85089425636

Start Page


  • 179

End Page


  • 186

Volume


  • 58

Abstract


  • 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.

Publication Date


  • 2020

Citation


  • Xia, C., Pan, Z., Zhang, S., Polden, J., Wang, L., Li, H., . . . Chen, S. (2020). Model predictive control of layer width in wire arc additive manufacturing. Journal of Manufacturing Processes, 58, 179-186. doi:10.1016/j.jmapro.2020.07.060

Scopus Eid


  • 2-s2.0-85089425636

Start Page


  • 179

End Page


  • 186

Volume


  • 58