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Volume 30 Issue 5
Sep.  2013
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Coaxial real-time monitoring of gap defect in CO2 laser welding process

  • Corresponding author: WANG Chun-ming, cmwang@mail.hust.edu.cn
  • Received Date: 2005-08-26
    Accepted Date: 2005-10-06
  • In order to study the characteristic signals according to the quality of the welding with dissimilar gaps,the self-made real-time monitoring system with coaxial sensors is applied to acquire and extract coaxial signal,and then the signals are analyzed with modes analysis,subsection power analysis and wavelet analysis.It is found that,the modes of coaxial optical emission of dissimilar gaps,clustering at distinct numerical range,can distinguish 1st,2nd and 3rd class welds of different welding quality effectively.The subsection power analysis of coaxial signals can reflect the welding changes obviously.The approximation signals on level 4 of the coaxial signals,after wavelet decomposing,can intuitionisticly distinguish the 1st class welds,while detail signals on level 3 and level 4 of coaxial optical emission can clearly identify the 2nd class welds.
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    POSTMA S,AARTS RONALD G K M,MEIJER J et al.Feedback control for optimal production speed in laser beam welding of mild steel[A].Proc of ICAL EO'2002[C].Orlando:Laser Institute of America,2002.1053~1062.
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    PETEREIT J,ABELS P,KAIERLE S et al.Failure recognition and online process control in laser beam welding[A].Proc of ICAL EO'2002[C].Orlando:Laser Institute of America,2002.2501~2509.
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    LIU Ch.Study about the coaxial monitoring and penetration control in CO2 laser welding[D].Beijing:Tsinghua University,2003.1~97(in Chinese).
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    ZHANG X D,CHEN W Zh.Coaxial monitoring and penetration control in CO2 laser welding[J].Transactions of the Chinese Welding Institution,2004,25(4):1~4(in Chinese).
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Coaxial real-time monitoring of gap defect in CO2 laser welding process

    Corresponding author: WANG Chun-ming, cmwang@mail.hust.edu.cn
  • 1. Material Science and Technology Institute, HUST, Wuhan 430074, China

Abstract: In order to study the characteristic signals according to the quality of the welding with dissimilar gaps,the self-made real-time monitoring system with coaxial sensors is applied to acquire and extract coaxial signal,and then the signals are analyzed with modes analysis,subsection power analysis and wavelet analysis.It is found that,the modes of coaxial optical emission of dissimilar gaps,clustering at distinct numerical range,can distinguish 1st,2nd and 3rd class welds of different welding quality effectively.The subsection power analysis of coaxial signals can reflect the welding changes obviously.The approximation signals on level 4 of the coaxial signals,after wavelet decomposing,can intuitionisticly distinguish the 1st class welds,while detail signals on level 3 and level 4 of coaxial optical emission can clearly identify the 2nd class welds.

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