Advanced Search
YANG Jiajia, WANG Kehong, WU Tongli, ZHOU Xiaoxiao. Welding penetration recognition in aluminum alloy tandem arc welding based on visual characters of weld pool[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(3): 49-52.
Citation: YANG Jiajia, WANG Kehong, WU Tongli, ZHOU Xiaoxiao. Welding penetration recognition in aluminum alloy tandem arc welding based on visual characters of weld pool[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(3): 49-52.
shu

Welding penetration recognition in aluminum alloy tandem arc welding based on visual characters of weld pool

  • School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

More Information
  • Received Date: April 06, 2016
    Graphical Abstract
    • Abstract
  • Penetration is one of the most important index in the welding quality evaluation. Nonuniform penetration is easily happened in aluminum alloy welding process because of the high sensitivity of aluminum to welding parameters. In the single-side welding and double-side molding experiment clear weld pool images of three kinds of penetration status-incomplete, complete and over penetration have been obtained by near-infrared visual sensing method. The characters of weld pool image such as weld width, weld half-length, molten pool area, perimeter and parabolic coefficient which is associated to weld penetration can be extracted by a special image processing algorithm. The penetration recognition model of aluminum alloy in tandem arc welding based on BP neural network was established and the result showed that the 5-13-3 structured BP neural network model has the highest recognition accuracy which is 89.05%.
    • FullText(HTML)
    • References (6)
  • Lu Na, Zhong jiyong, Chen huabin, et al. Real-time control of welding penetration during robotic GTAW dynamical process by audio sensing of arc length[J]. The International Journal of Advanced Manufacturing Technology, 2014(74): 235-249.
    刘立君, 兰 虎, 郑红艳. 基于神经网络熔透电弧声特征参数评价与选择[J]. 焊接学报, 2010, 31(3): 25-28. Liu Lijun, Lan Hu, Zheng Hongyan. Feature evaluation and selection of penetration arc sound signal based on neural network[J]. Transactions of the China Welding Institution, 2010, 31(3): 25-28.
    李亮玉, 陈树君, 殷树言. 基于弧焊温度场正面信息的熔透控制—三维稳定场熔透解析模型及验证[J]. 机械工程学报, 2000, 36(9): 37-41. Li Liangyu, Chen Shujun, Yin shuyan. Penetration control on top fece information of temperature field in arc welding—a three-dimentional analytical model of temperature field and experiment evaluation[J]. Journal of Mechanical Engineering, 2000, 36(9): 37-41.
    高进强, 武传松, 刘新峰. TIG焊背面熔宽的神经网络模糊控制[J]. 焊接学报, 2001, 22(5): 5-8. Gao Jinqiang, Wu Chuansong, Liu Xinfeng. Neuro-fuzzy control of back weld width in TIG welding[J]. Transactions of the China Welding Institution, 2001, 22(5): 5-8.
    毕淑娟, 兰 虎, 刘立君. 基于电弧声信号特征分析MAG焊熔透状态在线检测[J]. 焊接学报, 2010, 31(5): 17-20. Bi Shujuan, Lan hu, Liu lijun. On-line monitoring of penetration status based on characteristic analysis of arc sound signal in MAG welding[J]. Transactions of the China Welding Institution, 2010, 31(5): 17-20.
    吴松坪. 激光焊接过程熔透状态实时监测与模式分类[D]. 武汉: 华中科技大学, 2006.
    • Related Articles

  • Related Articles

    [1]DU Quanbin, ZHANG Liyan, LI Ang, CUI Bing, HUANG Junlan. Effect of Sn on the microstructure and properties of Cu-Sn-Ti brazing filler metal[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(2): 89-97. DOI: 10.12073/j.hjxb.20230309004
    [2]YIN Yan, KANG Ping, LU Chao, ZHANG Yuan, ZHANG Ruihua. Microstructure and microhardness analysis of laser welded dissimilar steel[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(7): 71-77. DOI: 10.12073/j.hjxb.20191227002
    [3]YIN Yan, PAN Cunliang, ZHAO Chao, ZHANG Ruihua, QU Yuebo. Formation mechanism of microstructure of laser cladding high chromium Fe-based alloy and its effect on microhardness[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(7): 114-120. DOI: 10.12073/j.hjxb.2019400192
    [4]CHANG Chuanchuan, ZHANG Tiancang, LI Ju. Study on microstructure and microhardness of linear friction welded joints of Ti-22Al-27Nb alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(3): 140-144. DOI: 10.12073/j.hjxb.2019400087
    [5]YANG Shuo, CHANG Baohua, XING Bin, DU Dong. Influences of forced cooling on the microstructure and microhardness in laser metal deposition of IC10 super alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(3): 31-35. DOI: 10.12073/j.hjxb.2018390063
    [6]YIN Yan, LI Zilin, XU Guangwei, ZHANG Ruihua, QU Yuebo. Microhardness and microstructure of laser cladding layer on 3Cr13 kitchen knife by disc laser coaxial powder[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(10): 85-88.
    [7]LIU Fulong, HE Xiaocong, ZENG Kai, WANG Yifeng. Effect of local heat treatment on microstructure and statics properties of clinched joints for SPCC steel[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(10): 41-43,48.
    [8]ZHANG Chuanchen, HUANG Jihua, ZHANG Tiancang, JI Yajuan. Investigation on microstructure and microhardness of linear friction welded joints of dissimilar titanium alloys[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (4): 97-100.
    [9]JIANG Zhizhong, HUANG Jihua, CHEN Shuhai, JU Xin. Microstructure transformation and mechanical properties of electron beam welded joints of fusion CLAM steel[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (3): 45-48.
    [10]ZHANG Guo-fu, SONG Tian-min, YIN Cheng-jiang, GUAN Jian-jun. The Effect of Mechanical Vibration Welding on the Microstructure of Weld and HAZ[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2001, (3): 85-87.

Catalog

    Get Citation
    PDF
    XML
    Article views (390) PDF downloads (183) Cited by()
    Turn off MathJax
    Article Contents
    Abstract
    References
    Related Articles

    Website Copyright © Editorial Office of Transactions of the China Welding Institution, Welding Journals Publishing HouseTel：0451-86323218Address：No. 2077, Chuangxin Road, Songbei District, Harbin

    Supported by: Beijing Renhe Information Technology Co. Ltd    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return