基于PSD的薄板焊接坡口信号识别系统  

PSD based signal recognition system for thin plate welding groove

作　　者：杨秀芝[1] 张锐[2] 王兴东[3] 蒋宇辉 王子涵 Yang Xiuzhi;Zhang Rui;Wang Xindong;Jiang Yuhui;Wang Zihan(Hubei Polytechnic University,Huangshi 435003,Hubei,China;Wuhan University of Technology,Wuhan 430070,China;Wuhan University of Science and Technology,Wuhan 430080,China)

机构地区：[1]湖北理工学院,湖北黄石435003 [2]武汉理工大学,武汉430070 [3]武汉科技大学,武汉430080

出　　处：《焊接》2020年第10期28-33,62,63,共8页Welding & Joining

基　　金：国家重点研发项目(2017YFB1300502)。

摘　　要：坡口信号识别是自动化焊接工艺的难点。基于此,运用PSD传感器的光敏性设计了光路图,建立了相对应的光路模型;针对PSD传感器会出现一定程度的非线性畸变,建立了相对应的改进模型,根据PSD传感器的输出位移与时间曲线的特点,提出了提取坡口角点信息的相关算法,实现对角点的实时提取及坡口的形貌拟合。结果表明,该信号识别系统能准确检测坡口的位置变化,并对坡口存在的缺陷进行实时检测,避免后期焊接过程出现失误,影响焊接质量。Groove signal recognition is a difficult point in automatic welding process.Based on this,the light path diagram was designed with the photosensitivity of PSD sensor and the corresponding light path model was established.Aiming at the nonlinear distortion of the PSD sensor to a certain extent,a corresponding improved model was established.According to the characteristics of the output displacement and time curve of the PSD sensor,a relevant algorithm was proposed to extract the corner information of the groove,so as to realize the real-time extraction of the diagonal points and the shape fitting of the groove.The results showed that the signal recognition system could accurately detect the change of groove position and defects of groove in real time,so as to avoid errors in the later welding process and affect the welding quality.

关 键 词：薄板焊接 信号识别 坡口角点提取 PSD畸变校正 坡口缺陷检测 

分 类 号：TG456.7[金属学及工艺—焊接]