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

	Prediction of weld appearance of electron beam deep penetration welding based on visual sensing
	Zhang, Binggang 1; Shi, Mingxiao 2; Chen, Guoqing 1; Feng, Jicai 1
	2011-12-01
发表期刊	Hanjie Xuebao/Transactions of the China Welding Institution
ISSN	0253360X
卷号	32 期号:12 页码:1-4+36
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.
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
收录类别	EI
语种	中文
出版者	Harbin Research Institute of Welding
EI入藏号	20120214676876
EI主题词	Welds
EI分类号	538.2 Welding - 538.2.1 Welding Processes - 542.3 Titanium and Alloys - 723.2 Data Processing and Image Processing - 802.3 Chemical Operations - 913.3 Quality Assurance and Control - 951 Materials Science
来源库	Compendex
分类代码	538.2 Welding - 538.2.1 Welding Processes - 542.3 Titanium and Alloys - 723.2 Data Processing and Image Processing - 802.3 Chemical Operations - 913.3 Quality Assurance and Control - 951 Materials Science
文献类型	期刊论文
条目标识符	https://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 Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China; 2.State Key Laboratory of Gansu Advanced Non-ferrous Metal Materials, Lanzhou University of Technology, Lanzhou 730050, 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.