A method of fuzzy clustering identification for weld defects by magneto-optical imaging

DAI Xinxin; GAO Xiangdong; ZHENG Qiaoqiao; JI Yukun

doi:10.12073/j.hjxb.20200525001

TRANSACTIONS OF THE CHINA WELDING INSTITUTION > 2021 > 42(1): 54-57. > DOI: 10.12073/j.hjxb.20200525001

DAI Xinxin, GAO Xiangdong, ZHENG Qiaoqiao, JI Yukun. A method of fuzzy clustering identification for weld defects by magneto-optical imaging[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2021, 42(1): 54-57. DOI: 10.12073/j.hjxb.20200525001

Citation:

PDF (707 KB)

A method of fuzzy clustering identification for weld defects by magneto-optical imaging

Guangdong Provincial Welding Engineering Technology Research Center, Guangdong University of Technology, Guangzhou, 510006, China

More Information

Received Date: May 24, 2020
Available Online: March 23, 2021

Graphical Abstract

Abstract

Abstract

Weldment of high strength steel (HSS) in laser welding was used as the research object, and a magneto-optical imaging detection method based on Faraday magnetic rotation effect was studied. By applying alternating-current power and changing the size of induced magnetic field of welds, a magneto-optical sensor was used to capture the magneto-optical images. The gray-level occurrence matrix (GLCM) texture features of the specific area of magneto-optical images were extracted and analyzed. For accurately detecting weld defects and classifying the type of defects, a fuzzy clustering identification model was established. Different calculation results of weld defects by adjusting the fuzzy index, the input characteristic numbers and the sample of weld defects of fuzzy c-mean clustering (FCM) were compared and the identification effect of weld defects were analyzed. Experimental results show that the fuzzy C-means clustering is effective for identification of the weld defects, which also has a better identification effect on cracks, incomplete penetrations, sags and different forms of same kinds of weld defects.
- weld defects,
- magneto-optical imaging,
- gray-level occurrence matrix,
- fuzzy clustering

FullText(HTML)

References (10)

References

Nacereddine N, Ziou D, Hamami L. Fusion-based shape descriptor for weld defect radiographic image retrieval[J]. International Journal of Advanced Manufacturing Technology, 2013, 68(9–12): 2815 − 2832. doi: 10.1007/s00170-013-4857-5

马雯波, 蔡青, 邓莉盈. 爆炸复合板压力容器径向裂纹的无损检测及其安全性分析[J]. 焊接学报, 2018, 39(10): 54 − 60.

Ma Wenbo, Cai Qing, Deng Liying. Nondestructive testing and safety analysis of radial cracks in pressure vessels with explosive composite plates[J]. Transactions of the China Welding Institution, 2018, 39(10): 54 − 60.

Chi D Z, Gang T. Defect detection method based on 2D entropy image segmentation[J]. China Welding, 2020, 29(1): 45 − 49.

Zhang W P, Wang C L, Xie F Q, et al. Defect imaging curved surface based on flexible eddy current array sensor[J]. Measurement, 2020, 151: 107280 − 1-10.

Zhou T Y, Zang Y C, Zhu J H, et al. NIG-AP: a new method for automated penetration testing[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(9): 1277 − 1288.

Zhang L, Zhang Y J, Dai B C, et al. Welding defect detection based on local image enhancement[J]. IET Image Processing, 2019, 13(13): 2647 − 2658.

高向东, 谢溢龙, 陈子琴, 等. 高强钢焊接缺陷磁光成像分形特征检测[J]. 焊接学报, 2017, 38(7): 1 − 4.

Gao Xiangdong, Xie Yilong, Chen Ziqin, et al. Fractal feature detection of high strength steel weld defects by magneto-optical imaging[J]. Transactions of the China Welding Institution, 2017, 38(7): 1 − 4.

Gao X D, Li Y F, Zhou X H, et al. Multidirectional magneto-optical imaging system for weld defects inspection[J]. Optics and Lasers in Engineering, 2020, 124: 105812-1-14.

高向东, 李竹曼, 游德勇, 等. 激光焊接状态图像灰度共生矩阵分析法[J]. 焊接学报, 2017, 36(6): 11 − 14.

Gao Xiangdong, Li Zhuman, You Deyong, et al. Gray level co-occurrence matrix analysis of laser welding state images[J]. Transactions of the China Welding Institution, 2017, 36(6): 11 − 14.

Ji Z, Liu J, Cao G, et al. Robust spatially constrained fuzzy c-means algorithm for brain MR image segmentation[J]. Pattern Recognition, 2014, 47(7): 2454 − 2466.

[1]	MIAO Guanghong, HU Yu, AI Jiuying, QI Junxiang, MA Honghao, SHEN Zhaowu. Numerical simulation research on the effect of explosive covering on explosive welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(1): 40-48. DOI: 10.12073/j.hjxb.20220121002
[2]	SUN Jiamin, CAI Jianpeng, YE Yanhong, Deng Dean. Numerical simulation of electro slag welding temperature field[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(7): 93-96.
[3]	ZHANG Xueqiu, YANG Jianguo, LIU Xuesong, FANG Hongyuan, QU Shen. Numerical simulation of welding distortion of blisk on aero-engine by controlling heat input[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (5): 37-40.
[4]	WANG Jianmin, ZHU Xi, LIU Runquan. Three dimensional numerical simulation for explosive welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (5): 109-112.
[5]	JIANG Wen-chun, GONG Jian-ming, TANG Jian-qun, CHEN Hu, TU Shan-dong. Numerical simulation of hydrogen diffusion under welding residual stress[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (11): 57-60,64.
[6]	ZHAO Yan-hua, LIN San-bao, HE Zi-qiu, WU Lin. Numerical simulation of 3D friction stir welding process[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (6): 75-78.
[7]	WU Yan-gao, LI Wu-shen, ZOU Hong-jun, FENG Ling-zhi. State-of-the-art of Numerical Simulation In Welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2002, (3): 89-92.
[8]	ZHANG Xian-hui, TAN Chang-ying, CHEN Pei-yin. Numerical Simulation of Hydrogen Diffusion in Welded Joint[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2000, (3): 51-54.
[9]	Zou Zengda, Wang Xinhong, Qu Shiyao. Numerical Simulation of Temperature Field for Weld-repaired Zone of White Cast Iron[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1999, (1): 24-29.
[10]	Wang Jianhua, Zhong Xiaomin, Qi Xinhai. 3-D numerical simulation of deformations in pipe-plate joint with holes[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1995, (3): 140-145.

Cited By

Cited by

Periodical cited type(1)

丁业立，牛红伟，刘多，刘积厚，雷玉珍. K9玻璃与2507不锈钢的真空钎焊. 焊接. 2019(01): 1-4+11+65 .

Other cited types(1)

Get Citation

PDF

XML

Article views (522) PDF downloads (31) Cited by(2)

Turn off MathJax

Article Contents

Abstract

References

A method of fuzzy clustering identification for weld defects by magneto-optical imaging