Analysis of droplet transfer of pulsed MIG welding based on electrical signal and high-speed photography  

作　　者：姚屏 薛家祥 黄文超 张瑞 

机构地区：[1]School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510640 [2]Guangdong Polytechnic Normal University,Guangzhou, 510635

出　　处：《China Welding》2009年第1期67-72,共6页中国焊接（英文版）

基　　金：This work was supported by National Natural Science Foundation of China （ No. 50875088） ; Natural Science Foundation of Guangdong Province, China （ No. 07006479）.

摘　　要：In order to study how welding parameters affect welding quality and droplet transfer, a synchronous acquisition and analysis system is established to acquire and analyze electrical signal and instantaneous images of droplet transfer simultaneously, which is based on a self-developed soft-switching inverter. On the one hand, welding current and voltage signals are acquired and analyzed by a self-developed dynamic wavelet analyzer. On the other hand, images are filtered and optimized after they are captured by high-speed camera. The results show that instantaneous waveforms and statistical data of electrical signal contribute to make an overall assessment of welding quality, and that optimized high-speed images allow a visual and clear observation of droplet transfer process. The analysis of both waveforms and images leads to a further research on droplet transfer mechanism and provides a basis for precise control of droplet transfer.In order to study how welding parameters affect welding quality and droplet transfer, a synchronous acquisition and analysis system is established to acquire and analyze electrical signal and instantaneous images of droplet transfer simultaneously, which is based on a self-developed soft-switching inverter. On the one hand, welding current and voltage signals are acquired and analyzed by a self-developed dynamic wavelet analyzer. On the other hand, images are filtered and optimized after they are captured by high-speed camera. The results show that instantaneous waveforms and statistical data of electrical signal contribute to make an overall assessment of welding quality, and that optimized high-speed images allow a visual and clear observation of droplet transfer process. The analysis of both waveforms and images leads to a further research on droplet transfer mechanism and provides a basis for precise control of droplet transfer.

关 键 词：pulsed MIG welding droplet transfer high-speed photography image processing wavelet analysis 

分 类 号：TG403[金属学及工艺—焊接] TG434.5