VISION-BASED IDENTIFICATION MODEL OF WELDING POOL WIDTH DYNAMIC RESPONDENCE IN ALUMINUM ALLOY PULSED MIG PROCESS

Acta Metall Sin

2005, Vol. 41

Issue (9): 994-998 DOI:

Research Articles

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VISION-BASED IDENTIFICATION MODEL OF WELDING POOL WIDTH DYNAMIC RESPONDENCE IN ALUMINUM ALLOY PULSED MIG PROCESS

SHI Yu; FAN Ding; HUANG An; CHEN Jianhong

State Key Laboratory of Gansu Advanced Non-ferrous Metal Materials;Lanzhou University of Technology; Lanzhou 730050

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SHI Yu; FAN Ding; HUANG An; CHEN Jianhong. VISION-BASED IDENTIFICATION MODEL OF WELDING POOL WIDTH DYNAMIC RESPONDENCE IN ALUMINUM ALLOY PULSED MIG PROCESS. Acta Metall Sin, 2005, 41(9): 994-998 .

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Abstract A vision sensing system for taking and processing the image of MIG welding pool of aluminum alloy has been setup in this paper. The morphological operator which can effectively wipe off noise and cathode pulverization' area in image was used to process the image of the aluminum alloy MIG welding pool. Based on the step response experiment, the welding pool width model of dynamic process in aluminum alloy pulsed MIG welding is identified by least square method. The input parameters of the model are welding wire speed, base current and pulse duty ratio, and the output is beam width of welding pool. The influence of wire speed, base current and pulse duty ratio on welding pool width is analyzed, which provides the theoretical basis to realize the intelligent control for aluminum alloy pulsed MIG welding process.

Key words: aluminum alloy welding pool width vision sensing system

Received: 22 February 2005

ZTFLH:	TG444.74
	TP317.4

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https://www.ams.org.cn/EN/ OR https://www.ams.org.cn/EN/Y2005/V41/I9/994

[1] Kovacevic R, Zhang Y M. J Manuf Sci Eng, 1997; 119: 161
[2] Saedi H R, Unkel W. Weld J, 1988; 67: 247
[3] Gao J Q,Wu C S. Acta Metall Sin, 2000; 36: 1284 (高进强,武传松．金属学报,2000;36:1284)
[4] Chen S B, Chen W J, Lin T. Trans Chin Weld Inst, 2001; 22(3): 5 (陈善本,陈文杰,林涛．焊接学报,2001;22(3):5)
[5] Ohshima K, Yamamoto M, Tanii T, Yamane S. IEEE Trans Ind Appl, 1992; 28: 607
[6] Frank Y S, Cheng S X. Inf Sci, 2004; 167: 9!

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