注：中山市科技局公益基金项目（NO.2015SYF0202）；广东省自然科学基金项目（NO.2016A030310347）；广州市科技计划项目（NO.201707010197）
作者：江武志1，梁晨曦2，吴华昶2，贺贵腾1
单位：1. 中山职业技术学院 信息工程学院，广东中山 528404；
      2. 广东工业大学 机电工程学院，广东广州 510000
中图分类号：TP212; TG456.7     
文献标识码：A    
文章编号：1006-883X(2017)10-0013-07
收稿日期：2017-09-04

摘要：为了实时监测激光焊接质量，设计了一套双层光电传感系统，系统能实时采集焊接实验中金属蒸汽及熔池两焊区的光辐射信号。信号经过PIN光电传感器转换成电压信号被数据采集卡采集保存。利用Matlab软件对采集数据进行频域分析。实验分析发现，金属蒸汽和熔池的光辐射有相似的频谱特征，频谱线波动程度与焊缝质量有明显关系。结果表明，该检测系统能有效实时监测焊接状态、识别焊接缺陷。
关键词：激光焊接；光电传感；焊接缺陷；实时监测；焊接状态

YAG laser welding quality detection based on double-layer photoelectric sensing system
JIANG Wu-zhi 1, LIANG Chen-xi 2, WU Hua-chang 2, HE Gui-teng 1
1. School of Information Engineering, Zhongshan Polytechnic, Zhongshan 528404, China; 2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510000, China
Abstract: A double-layer photoelectric sensing system is designed to realize real-time monitoring on laser weld quality. The system collects the optical radiation signals of metallic vapor and molten pool in real-time. The signals are converted to voltage signals by PIN photoelectric sensors and then collected and saved by the data acquisition card. Matlab is used to analyze the frequency domain of the saved data. Experimental results show that the optical radiation signals of metallic vapor and molten pool present similar frequency features, and the fluctuation of spectrum line affects welding quality obviously. The designed system is considered effective in realizing real-time monitoring on welding status and weld defect recognition.
Keywords: laser welding; photoelectric sensor; welding defects; real-time monitoring; welding state

备注：2017年 第23卷 第10期