基于LabVIEW的焊接电弧声信号采集分析系统
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摘要
介绍了Lab VIEW开发环境下焊接电弧声信号采集分析系统的程序设计方法。采用Lab VIEW的图像化设计语言,设计了包括采集模块、分析模块的虚拟音频采集分析系统,实现了电弧声信号的实时采集与显示,在选取波形分析的基础上获得了电弧声信号的时域、频域特征,系统具有人机界面友好、灵活,开发周期短等特点。构建了焊接试验平台,以熔化极气体保护焊电弧声为研究对象,利用该系统研究了保护气成分对电弧声信号的影响。结果表明,电弧声波形能够反映焊接过程各个阶段,且保护气成分变化将导致电弧声信号时域、频域特征发生改变,为实现电弧声信号在线监测与分析奠定了基础。
The graph program design for acquisition and analysis system of arc acoustic signals based on Lab VIEW was introduced. The system included two interfaces that were the interface of acquiring data and the interface of recall and analysis, which was designed by means of virtual instrument graphic language. The arc acoustic wave was shown in real time, and the characteristics of arc acoustic signals in time-domain and frequency-domain were acquired. The design method could shorten the development cycle of instrument. The welding testing platform was constructed, then the effects of shielding gas composition on arc acoustic signals during GMAW welding were studied. The results showed that all phases of welding process could be obtained by observing arc acoustic wave, and arc acoustic signals had different characteristics with the changes of the shielding gas composition, which would be helpful to the on-line monitoring and analyzing in future.
The graph program design for acquisition and analysis system of arc acoustic signals based on Lab VIEW was introduced. The system included two interfaces that were the interface of acquiring data and the interface of recall and analysis, which was designed by means of virtual instrument graphic language. The arc acoustic wave was shown in real time, and the characteristics of arc acoustic signals in time-domain and frequency-domain were acquired. The design method could shorten the development cycle of instrument. The welding testing platform was constructed, then the effects of shielding gas composition on arc acoustic signals during GMAW welding were studied. The results showed that all phases of welding process could be obtained by observing arc acoustic wave, and arc acoustic signals had different characteristics with the changes of the shielding gas composition, which would be helpful to the on-line monitoring and analyzing in future.
引文
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[2]Cayo E H,Alfaro S C A.Weld transference modes identification through sound pressure level in GMAW process[J].Journal of Achievements in Materials and Manufacturing Engineering,2008,29(1):57-62.
[3]Pal K,Bhattacharya S and Pal S K.Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding[J].Journal of Materials Processing Technology,2010,210(10):1 397-1 410.
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[6]张振,李香飞,甘淑敏,等.基于Lab VIEW的声音信号采集分析系统开发[J].北方工业大学学报,2012,24(3):42-45.
[7]石玗,黄健康,聂晶,等.电弧声与铝合金脉冲MIG焊熔滴过渡的相关性[J].焊接学报,2009,30(3):29-32.
[2]Cayo E H,Alfaro S C A.Weld transference modes identification through sound pressure level in GMAW process[J].Journal of Achievements in Materials and Manufacturing Engineering,2008,29(1):57-62.
[3]Pal K,Bhattacharya S and Pal S K.Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding[J].Journal of Materials Processing Technology,2010,210(10):1 397-1 410.
[4]樊丁,黄健康,石玗,等.基于电弧声ARMA双谱分析对熔滴过渡类型SVM模式识别[J].上海交通大学学报,2008,42(S1):42-45.
[5]马跃洲,瞿敏,陈剑虹.基于电弧声信号的CO2焊接状态模式识别[J].兰州理工大学学报,2006,32(4):29-33.
[6]张振,李香飞,甘淑敏,等.基于Lab VIEW的声音信号采集分析系统开发[J].北方工业大学学报,2012,24(3):42-45.
[7]石玗,黄健康,聂晶,等.电弧声与铝合金脉冲MIG焊熔滴过渡的相关性[J].焊接学报,2009,30(3):29-32.