| 摘要: |
| 激光焊接过程伴随着强烈的声信号,这些声信号中包含焊接过程的重要信息,反映了焊缝质量。以平板激光堆焊为研究对象,详细地分析了焊接过程声信号的特征。研究发现,声信号的强度和功率频谱分布与焊缝熔深具有良好的对应关系。声信号功率频谱主要集中在2~10 kHz之间,并且具有明显的谱线族。随焊缝熔深的减小,声信号强度减弱,并且声信号频谱族由相对集中单一向分散多族化变化。以激光焊接过程产生的声信号特征作为传感信息,采用人工神经网络技术建立了声信号与焊缝熔深之间的关系模型。结果表明,该模型能够根据声信号特征定量地检测焊缝的熔深,为激光非熔透焊接熔深的实时检测提供一种有效的手段。 |
| 关键词: 激光焊接 质量检测 声信号 熔深 |
| DOI： |
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| Correlation of acoustic signals and weld depth in laser welding |
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LIU Jing-lei1,2, CHEN Yan-bin2, XU Qing-hong2
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1.School of Mechanical and Power Fngineering, East China University of Scicnce and Technology, Shanghai 200237, China;2.School of Material Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
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| Abstract: |
| Laser welding is accompanied with a strong acoustic signal,which contains a considerable amount of information on the welding process and indicates certain aspects of weld quality.The characteristics of weld acoustic signal during laser cladding were analyzed in details.The intensity and power spectrum components of acoustic signals were found to be a match for the weld depth.The dominant power spectra covered by the experimental set-up ranged from 2 to 10 kHz,where several obvious spectrum lines were detected.The amplitude of acoustic signals decreases and the acoustic power spectrum lines change from intensive and simple to separated and complex with the decrease of weld depth.A relation model between acoustic signal and weld depth was established by using artificial neural network,which took acoustic signals as sensing message.The built backpropagation(BP) network model provided practical accuracy of numerical detection.These results have an industrial impact on detecting depth of laser welding in real-time. |
| Key words: laser beam welding quality detection acoustic signal processing weld depth |
