Author:
Yang Chengdong,Ye Zhen,Chen Yuxi,Zhong Jiyong,Chen Shanben
Abstract
Purpose
– This paper aims to solve the problem that the changing of groove size and assembly gap would affect the precision of the multi-pass path planning and the welding quality and realize the automatic welding of a thick plate.
Design/methodology/approach
– First, a double-sided double arc welding (DSAW) system with a self-designed passive vision sensor was established, then the image of the groove was captured and the characteristic parameters of groove were extracted by image processing. According to the welding parameters and the extracted geometry size, multi-pass path planning was executed by the DSAW system.
Findings
– A DSAW system with a self-designed passive vision sensor was established which can realize the welding thick plate by double-sided double arc by two robots. The clear welding image of the groove was acquired, and an available image processing algorithm was proposed to accurately extract the characteristic parameters of the groove. According to the welding parameters and the extracted geometry size, multi-pass path planning can be executed by the DSAW system automatically.
Originality/value
– Gas metal arc welding is used for root welding and filler passes in DSAW. Multi-pass path planning for thick plate by Double-sided Double Arc Welding (DSAW) based on vision sensor was proposed.
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering
Reference17 articles.
1. Chen, S.B.
,
Chen, X.Z.
,
Qiu, T.
and
Li, J.Q.
(2005), “Acquisition of weld seam dimensional position information for Arc welding robot based on vision computing”, Journal of Intelligent & Robotic Systems, Vol. 43 No. 1, pp. 77-97.
2. Chen, S.B.
,
Zhang, Y.
,
Qiu, T.
and
Lin, T.
(2003), “Robotic welding systems with vision sensing and self-learning neuron control of Arc weld dynamic process”, Journal of Intelligent and Robotic Systems, Vol. 36 No. 2, pp. 191-208.
3. Chen, X.Z.
,
Huang, Y.M.
and
Chen, S.B.
(2012), “Model analysis and experimental technique on computing accuracy of seam spatial position information based on stereo vision for welding robot”, Industrial Robot: An International Journal, Vol. 39 No. 4, pp. 349-356.
4. Isao, M.
(1979), “A program for setting CO2 horizontal fillet welding parameters with given leg lengths and welding speed”, Journal of the Japan Welding Society, Vol. 48 No. 7, pp. 94-98.
5. Kong, M.
and
Chen, S.B.
(2009), “Al alloy weld pool control of welding robot with passive vision”, Sensor Review, Vol. 29 No. 1, pp. 28-37.
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献