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WE Colloquium: Jun Xiao, Decoupling Control of Metal Transfer in GMAW – Innovation, Theoretical Foundation, and Experimental Verification

Welding Research Inst, College of Mechanical Engineering and Applied Electronic Technology, Beijing Un of Tech

All dates for this event occur in the past.

111 EJTC
1248 Arthur Adams Dr
Columbus, OH 43221
United States

Abstract

Current-independent metal transfer that droplets can be detached at relatively small diameter and any reasonable low current will provide gas metal arc welding (GMAW) process entirely new abilities to better meet needs from different applications. To this end, two separate innovations and their combination are studied and presented. So-called current-independent metal transfer is successfully realized for the first time by using pulsed high-power-density laser irradiation to partly vaporize, recoil and detach the droplet, one droplet detached by one laser pulse despite of the welding current amps. In a separate effort, an innovative current waveform is invented to actively regulate the arc force and thus excite the droplet into oscillation which can be utilized to enhance droplet detachment. Experiments and analysis provide the fundamentals and experimental verification/optimization for both the proposed methods. As a result, they can be effectively combined to form a more flexible, so-called laser-arc hybrid control method such that droplets can be detached at much reduced laser power.

Bio

Dr. Jun Xiao is an assistant Professor at the College of Mechanical Engineering and Applied Electronic Technology, Welding Research Institute at the Beijing University of Technology. His research interests include innovative welding/AM processes, sensing and control of welding processes, and robotic welding. Dr. Xiao received his PhD from the State Key Laboratory of Advanced Welding and Joining at Harbin Institute of Technology. His used to spend two years at the Welding Laboratory of University of Kentucky as a joint visiting student to conduct the main research of this PhD project, during which he won the 2014 A. F. Davis Silver Medal Award Category A: Machine Design from AWS.