高级检索

基于透红外视觉传感的GMA-AM熔池图像质量评价

方吉米,王克鸿,黄勇

方吉米,王克鸿,黄勇. 基于透红外视觉传感的GMA-AM熔池图像质量评价[J]. 焊接学报, 2018, 39(12): 89-94. DOI: 10.12073/j.hjxb.2018390304
引用本文: 方吉米,王克鸿,黄勇. 基于透红外视觉传感的GMA-AM熔池图像质量评价[J]. 焊接学报, 2018, 39(12): 89-94. DOI: 10.12073/j.hjxb.2018390304
shu
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
shu

基于透红外视觉传感的GMA-AM熔池图像质量评价

Weld pool image quality evaluation of gas metal arc additive manufacturing based on infrared visual sensing

摘要

    摘要
  • 摘要: 针对熔化极气体保护电弧(gas metal arc，GMA)增材制造(additive manufacturing，AM)图像感知，提出一种透红外熔池视觉传感方法. 为客观评价熔池图像质量，综合图像灰度、纹理、形状和频谱等四类特征定义了熔池图像质量评价参数φ. 结果表明，φ值越大，图像质量越好. 透红外熔池图像质量评价参数φ远大于近红外窄带熔池图像，熔池更清晰，对比度更高. 相比800，850和930 nm等透红外滤光片，990 nm透红外滤光片能过滤大部分电弧连续谱和特征谱，获得的熔池信息量最大，对比度更明显，边缘更清晰，细节信息更丰富，熔池图像质量最佳，是最佳取像窗口.
    Abstract: 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.
    • HTML全文
    • 参考文献(10)
  • [1] ?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.
    [2] 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.
    [3] 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
    [4] 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
    [5] 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
    [6] 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.
    [7] 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.
    [8] 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.
    [9] 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.
    [10] 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.
    • 相关文章
    • 施引文献(8)

  • 期刊类型引用(3)

    1. 吴斌，杨敬，焦敬品，何存富，齐高君. 奥氏体不锈钢小径管焊缝缺陷多模式超声复合全聚焦成像研究. 机械工程学报. 2020(14): 9-18 . 百度学术
    2. 沈成业，洪朝，黄海军，钱盛杰，王杜. 焊缝缺陷的全聚焦相控阵成像检测. 无损检测. 2020(09): 45-49 . 百度学术
    3. 范学腾，伏喜斌，黄学斌，钟舜聪，方波，林起本，唐长明. 复合粘接结构脱粘缺陷全聚焦成像模拟及算法优化研究. 机电工程. 2019(08): 791-796 . 百度学术

    其他类型引用(5)

    • 资源附件(0)
计量
  • 文章访问数:  518
  • HTML全文浏览量:  6
  • PDF下载量:  6
  • 被引次数: 8
出版历程
  • 收稿日期:  2017-04-11

目录

摘要
HTML全文
    参考文献(10)
    相关文章
    施引文献
    资源附件(0)

    /

    返回文章
    返回

    网站版权 © 焊接杂志社焊接学报编辑部电话：0451-86323218地址：哈尔滨市松北区创新路2077号

    本系统由 北京仁和汇智信息技术有限公司 开发  百度统计