Prediction of weld appearance of electron beam deep penetration welding based on visual sensing

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	Prediction of weld appearance of electron beam deep penetration welding based on visual sensing
	Zhang, Binggang 2; Shi, Mingxiao 1; Chen, Guoqing 2; Feng, Jicai 2
刊名	Hanjie Xuebao/Transactions of the China Welding Institution
	2011-12-01
卷号	32 期号:12 页码:1-4+36
关键词	Binary images Edge detection Electron beam welding Electron beams Extraction Quality control Titanium alloys Binary morphology Coefficient of variation Correspondence relationships Deep-penetration welding Image processing algorithm Morphological image processing Visual sensing Weld appearances
ISSN号	0253360X
英文摘要	Basing on visual sensing method, the electron beam welding molten pool image of titanium alloy was obtained. The binary morphological image processing algorithm was used to process the molten pool image for getting the molten pool edge, moreover, the molten pool width was obtained by using a suite of processing programs for molten pool extraction. The correspondence relationship between the fluctuation of molten pool width and weld appearance is found, i.e. the weld appearance is poor when the fluctuation of molten pool width is relatively large, but the weld appearance is good when the fluctuation of molten pool width is relatively small. Based on analysis, the coefficient of variation CV was proposed as characterization to describe the weld appearance. The results show that the developed image processing algorithms are reliable, and the detected errors are less than 0.1 mm, at the same time the whole extraction process of molten pool width only needs approximately 30 milliseconds, which could meet the needs of real time detection. The coefficient of variation can reflect the quality of weld appearance and it can be used as a parameter to control the weld appearance.
语种	中文
出版者	Harbin Research Institute of Welding
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111653]
专题	兰州理工大学省部共建有色金属先进加工与再利用国家重点实验室
作者单位	1.State Key Laboratory of Gansu Advanced Non-ferrous Metal Materials, Lanzhou University of Technology, Lanzhou 730050, China 2.State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China;
推荐引用方式 GB/T 7714	Zhang, Binggang,Shi, Mingxiao,Chen, Guoqing,et al. Prediction of weld appearance of electron beam deep penetration welding based on visual sensing[J]. Hanjie Xuebao/Transactions of the China Welding Institution,2011,32(12):1-4+36.
APA	Zhang, Binggang,Shi, Mingxiao,Chen, Guoqing,&Feng, Jicai.(2011).Prediction of weld appearance of electron beam deep penetration welding based on visual sensing.Hanjie Xuebao/Transactions of the China Welding Institution,32(12),1-4+36.
MLA	Zhang, Binggang,et al."Prediction of weld appearance of electron beam deep penetration welding based on visual sensing".Hanjie Xuebao/Transactions of the China Welding Institution 32.12(2011):1-4+36.