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FANG Jimi, WANG Kehong, HUANG Yong. Weld pool image quality evaluation of gas metal arc additive manufacturing based on infrared visual sensing[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(12): 89-94. DOI: 10.12073/j.hjxb.2018390304
Citation: FANG Jimi, WANG Kehong, HUANG Yong. Weld pool image quality evaluation of gas metal arc additive manufacturing based on infrared visual sensing[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(12): 89-94. DOI: 10.12073/j.hjxb.2018390304
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Weld pool image quality evaluation of gas metal arc additive manufacturing based on infrared visual sensing

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  • Received Date: April 11, 2017
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  • An infrared visual sensing method for Gas Metal Arc Additive Manufacturing (GMA-AM) weld pool was proposed. In order to evaluate the image quality of the molten pool objectively, the evaluation parameter φ was defined by four kinds of features containing gray level, texture, shape and spectrum. The greater the value of φ, the better the image quality. The image quality evaluation parameter φ of the infrared weld pool was much greater than that of the near-infrared narrow-band filter weld pool. Compared with 800, 850 and 930 nm, the 990 nm infrared filter could filter most of the continuous spectrum and characteristic spectrum, which obtained much more information, more contrast clearer edge and more details. The results proved that the GMA-AM weld pool image by 990 nm infrared had the best image quality.
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  • ?Xiong J, Yin Z, Zhang W. Closed-loop control of variable layer width for thin-walled parts in wire and arc additive manufacturing[J]. Journal of Materials Processing Technology, 2016, 233: 100 ? 106.
    Comas T F, Diao C, Ding J, et al. A passive imaging system for geometry measurement for the plasma arc welding process[J]. IEEE Transactions on Industrial Electronics, 2017, 64(9): 7201 ? 7209.
    王克鸿, 汤新臣, 刘 永, 等. 富氩气保焊熔池信息视觉检测方法试验研究[J]. 机械工程学报, 2004, 40(6): 161 ? 164
    Wang Kehong, Tang Xinchen, Liu Yong, et al. Experimental research on the method of vision detecting MAG welding pool information[J]. Chinese Journal of Mechanical Engineering, 2004, 40(6): 161 ? 164
    闫志鸿, 张广军, 邱美珍, 等. 脉冲熔化极气体保护焊熔池图像的检测与处理[J]. 焊接学报, 2005, 26(2): 37 ? 40
    Yan Zhihong, Zhang Guangjun, Qiu Meizhen, et al. Monitoring and processing of weld pool images in plused gas metal arc welding[J]. Transactions of the China Welding Institution, 2005, 26(2): 37 ? 40
    梁志敏, 赵双双, 张梅梅, 等. 基于红外透过滤光片的P-GMAW熔池图像传感[J]. 焊接学报, 2014, 35(2): 33 ? 36
    Liang Zhimin, Zhao Shuangshuang, Zhang Meimei, et al. Vision sensing of weld pool for P-GMAW by an infrared transmitting filter[J]. Transactions of the China Welding Institution, 2014, 35(2): 33 ? 36
    王志江. 脉冲熔化极气体保护焊接熔深自适应区间模型控制[D]. 哈尔滨: 哈尔滨工业大学, 2010.
    Li Z, Srivatsan T S, Wang Y, et al. The spectral analysis of different flux-cored wires during arc welding of metals[J]. Materials and Manufacturing Processes, 2012, 27(6): 664 ? 669.
    Liang Zhimin, Wang Dianlong, Wang Jun. Vision sensing of P-GMAW weld pool using narrow band filters with different center wavelengths[J]. China Welding, 2013, 22(1): 41 ? 46.
    Gao Fei, Wang Kehong, Zhan Lanlan, et al. Classification of MAG weld pool image based on moment invariants and fisher[J]. China Welding, 2011, 20(4): 51 ? 56.
    Li Z, Srivatsan T S, Zhao H, et al. On the use of arc radiation to detect the quality of gas metal arc welds[J]. Materials and Manufacturing Processes, 2011, 26(7): 933 ? 941.
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