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ZHU Yang, LUO Yi, XIE Xiaojian, WANG Can. Process characterization of laser beam+micro-plasma arc hybrid welding based on structure-borne acoustic emission signals detected in welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(9): 96-100.
Citation: ZHU Yang, LUO Yi, XIE Xiaojian, WANG Can. Process characterization of laser beam+micro-plasma arc hybrid welding based on structure-borne acoustic emission signals detected in welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(9): 96-100.

Process characterization of laser beam+micro-plasma arc hybrid welding based on structure-borne acoustic emission signals detected in welding

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  • Received Date: October 08, 2014
  • Pulse YAG laser welding, micro-plasma arc welding and laser+micro-plasma arc hybrid welding were used to weld 304 stainless steel. The structure-borne acoustic emission (AE) signals during welding were detected in real-time to characterize the process of welding. The result showed that the welding effect of laser+micro-plasma arc hybrid welding was better as the defocusing distance was -2 mm. At the same time, the weld appearance showed typical characteristics of hybrid heat source welding. Better weld surface appearance, penetration and width were obtained. As the effect of hybrid heat source welding process was better, the amplitude of AE signals was larger, more uniform and consistent with the cycle of laser-beam heat source, which showed an obvious periodicity of hybrid heat source welding. Consequently, the structure-borne acoustic emission signals detected in welding process was possible to be used to characterize the process of laser+micro-plasma arc hybrid welding.
  • 蔡华, 林凯莉, 肖荣诗. 薄板2524铝合金激光填丝焊接工艺及组织性能[J]. 焊接学报, 2014, 35(4): 24-28. Cai Hua, Lin Kaili, Xiao Rongshi. Process and microstructure properties of laser beam welding of thin 2524 aluminum alloy sheet with filler wire[J]. Transactions of the China Welding Institution, 2014, 35(4): 24-28.
    李少华, 康蓉娣. 激光焊接技术及其应用[J]. 舰船防化, 2011(4): 32-36. Li Shaohua, Kang Rongdi. Application and development of laser welding technology[J]. Chemical Defence on Ships, 2011(4): 32-36.
    Chen Genyu, Zhang Mingjun, Zhao Zhi, et al. Measurements of laser-induced plasma temperature field in deep penetration laser welding[J]. Optics & Laser Technology, 2013, 45: 551-557.
    陈俐, 段爱琴. YAG激光等离子弧复合焊接热源光谱特征分析[J]. 电加工与模具, 2007(6): 18-21. Chen Li, Duan Aiqin.The spectrum analysis on the YAG-plasma hybrid welding of stainless steel[J]. Electromachining & Mould, 2007(6): 18-21.
    朱艳丽, 李桓, 杨立军, 等. 激光+双丝脉冲MIG/MAG复合焊系统及工艺开发[J]. 焊接学报, 2012, 33(12): 28-32. Zhu Yanli, Li Huan, Yang Lijun, et al. Development of hybrid laser+double wire MIG/MAG welding system and process[J]. Transactions of the China Welding Institution, 2012, 33(12): 28-32.
    罗怡, 朱成华, 李京龙. 电阻点焊熔核形核信息的声发射信号表征[J]. 焊接学报, 2013, 34(7): 77-80. Luo Yi, Zhu Chenghua, Li Jinglong. Characterization of nugget nucleation information by acoustic emission signals during resistance spot welding[J]. Transactions of the China Welding Institution, 2013, 34(7): 77-80.
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