Vision-sensing and bead width control of a single-bead multi-layer part: material and energy savings in GMAW-based rapid manufacturing

By Jun Xiong, Guangjun Zhang, Zhi-Long Qiu, Yongzhe Li. 2013

155 citations recorded by the source corpus.

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A multi-bead overlapping model for robotic wire and arc additive manufacturing (WAAM) (2015, methodology): “As a result, WAAM using either the GMAW or the GTAW process is a promising technology for manufacturing aerospace components with median to large size in terms of productivity, costcompetitiveness and energy efficiency [5, 6, 19, 20].”
Wire-feed additive manufacturing of metal components: technologies, developments and future interests (2015, methodology): “Although some preliminary studies have been reported on the control of the deposition process [44, 67, 92], more emphasis is required on this research area to increases the stability of the deposition process.”
A practical path planning methodology for wire and arc additive manufacturing of thin-walled structures (2015, background): “research community in recent years due to its high deposition rate [8-10].”
Arc Welding Processes for Additive Manufacturing: A Review (2018, methodology): “Instead of direct measurement of weld pool in WAAM process, active visual sensing [82] and passive visual sensing [80] were used to monitor the area behind the welding area where the influence of the strong welding arc is largely reduced, therefore a certain distance lag was suffered.”
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system (2020, unknown): “• Toolpath planning: • Process control: [4] .”