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ZHANG Xuqiang, YU Zhihao. Imprint characteristics extracted from images in resistance spot welding of high strength steels and relationship with welding quality[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2021, 42(10): 62-66, 72. DOI: 10.12073/j.hjxb.20200804002
Citation: ZHANG Xuqiang, YU Zhihao. Imprint characteristics extracted from images in resistance spot welding of high strength steels and relationship with welding quality[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2021, 42(10): 62-66, 72. DOI: 10.12073/j.hjxb.20200804002

Imprint characteristics extracted from images in resistance spot welding of high strength steels and relationship with welding quality

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  • Received Date: August 03, 2020
  • Available Online: May 07, 2021
  • High strength steel is widely used in industrial production because of its excellent properties. However, it is difficult to extract the welding characteristics of high strength steel and evaluate the quality of resistance spot welding. Electrode imprint is a direct reflection of the surface morphology of the spot welding and the end face of the electrode. Imprint image contains both spot welding information and electrode wear information. Through image processing and recognition, the contour edge of imprint image is detected and recognized, and the imprint characteristics parameters are extracted by ellipse fitting method. The imprint characteristic parameters and nugget diameter were analyzed, and the influence of each characteristic on spot welding quality was studied. The results show that the imprint contour fitted by ellipse can approximately replace the actual contour. There is a significant negative correlation between the average axial length and pitting area extracted from imprint characteristics and spot weld quality.
  • 张旭强, 陈关龙, 张延松. 热镀锌高强钢点焊的电极磨损机理分析[J]. 焊接学报, 2009, 30(11): 41 − 43. doi: 10.3321/j.issn:0253-360X.2009.11.011

    Zhang Xuqiang, Chen Guanlong, Zhang Yansong. Experimental study on electrode wear mechanism in resistance spot welding of high strength hot galvanization steels[J]. Transactions of the China Welding Institution, 2009, 30(11): 41 − 43. doi: 10.3321/j.issn:0253-360X.2009.11.011
    张旭强, 张延松, 刘衍聪. 热镀锌高强钢点焊的电极磨损对焊点质量的影响[J]. 焊接学报, 2009, 30(10): 5 − 8.

    Zhang Xuqiang, Zhang Yansong, Liu Yancong. Effects of electrode wear on weld quality of hot galvanization steel with high strength in resistance spot welding[J]. Transactions of the China Weld-ing Institution, 2009, 30(10): 5 − 8.
    石强, 张旭强, 孔祥顺, 等. 点蚀对镀锌高强钢点焊熔核形成的影响[J]. 电焊机, 2017, 47(2): 5 − 8.

    Shi Qiang, Zhang Xuqiang, Kong Xiangshun, et al. Effect of electrode pitting on nugget formation in resistance spot welding of galvanization high strength steel[J]. Electric Welding Machine, 2017, 47(2): 5 − 8.
    Manladan S M, Yusof F, Ramesh S, et al. A review on resistance spot welding of aluminum alloys[J]. The International Journal of Advanced Manufacturing Technology, 2017, 90(1−4): 605 − 634. doi: 10.1007/s00170-016-9225-9
    Rout A, Deepak B, Biswal B B, et al. An optimal image processing method for simultaneous detection of weld seam position and weld gap in robotic arc welding[J]. International Journal of Manufacturing, Materials and Mechanical Engineering (IJMMME), 2018, 8(1): 37 − 53. doi: 10.4018/IJMMME.2018010103
    于英飞, 朱志明, 孙博文, 等. 焊接电弧图像的边缘检测及其批处理算法[J]. 焊接学报, 2018, 39(10): 17 − 21.

    Yu Yingfei, Zhu Zhiming, Sun Bowen, et al. Edges detection and batch algorithm for welding arc images[J]. Transactions of the China Welding Institution, 2018, 39(10): 17 − 21.
    李乐乐. 镁合金逆变电阻点焊电极失效研究[D]. 太原: 太原科技大学, 2016.

    Li Lele. Research on the electrode failure in inverter resistance spot welding of magnesium alloy [D]. Taiyuan: Taiyuan University of Science and Technology, 2016.
    Xia Y J, Su Z W, Lou M, et al. Online precision measurement of weld indentation in resistance spot welding using servo gun[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 69(7): 4465 − 4475.
    Vinista P, Joe M M. A novel modified sobel algorithm for better edge detection of various images[J]. International Journal of Emerging Technologies in Engineering Research, 2019, 7(3): 26 − 31.
    Xu Z, Xu S, Qian C, et al. Accurate ellipse extraction in low-quality images[C]//2019 16th International Conference on Machine Vision Applications (MVA). IEEE, 2019: 1-5.
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