汽车工程

汽车工程 ›› 2020, Vol. 42 ›› Issue (3): 401-405.doi: 10.19562/j.chinasae.qcgc.2020.03.018

• • 上一篇    下一篇

白车身激光扫描焊熔池边界提取与缺陷识别的研究

宋宏伟1, 王龙1, 张秋花1, 赵青2   

  1. 1.北京奔驰汽车有限公司生产制造部,北京 100176;
    2.北京控制与电子技术研究所,北京 100038
  • 收稿日期:2019-07-05 出版日期:2020-03-25 发布日期:2020-04-16
  • 通讯作者: 宋宏伟,高级工程师,E-mail:songhongwei@bbac.com.cn

Study on Boundary Extraction and Defect Identification of Molten Pool in Laser Scanning Welding of Body-in-white

Song Hongwei1, Wang Long1, Zhang Qiuhua1, Zhao Qing2   

  1. 1.Production and Manufacturing Department, Beijing Benz Automotive Co., Ltd., Beijing 100176;
    2.Beijing Institute of Control and Electronic Technology, Beijing 100038
  • Received:2019-07-05 Online:2020-03-25 Published:2020-04-16

PDF (PC)

751

赞

摘要： 研究激光扫描焊接的在线质量检测中,熔池信号的提取过程以及去除干扰信号提高检测稳定性的方法。通过构建以Nd: YAG激光为热源的同轴视觉检测系统,获得清晰的熔池区图像。针对生产过程中多因素对质量监控的干扰,利用数字图像相关技术提出滤除杂波、提取关键质量信息的方法。通过最大类间方差法合理设置阈值,将灰度图转换为二值图,采用增强算子和最大连通域法有效去除焊接飞溅带来的同灰度噪点,获得准确的熔池边界。分析焊接夹具及飞溅形态对边界识别的影响,设置合理的工况标准,从而提高质量监控的稳定性,降低误报率。

关键词: 激光扫描焊, 熔池, 飞溅, 边界提取, 质量检测

Abstract: The extraction process of molten pool signal and the method of removing interference signal to improve detection stability are studied in online quality detection of laser scanning welding technology. A clear image of molten pool is obtained by constructing a coaxial vision detection system with Nd: YAG laser as the heat source. For the interference of many factors on quality monitoring in production process, a method of filtering clutter and extracting key quality information is proposed by using related digital image technology. The threshold value is set reasonably by the method of maximum inter-class variance, and the gray scale image is converted into a binary image. The enhancement operator and maximum interconnection region method are used to remove the same gray level noise points caused by welding spatter effectively and obtain the accurate molten pool boundary. The influence of welding fixture and splash shape on boundary identification is analyzed, and reasonable working condition standard is set to improve the stability of quality control and reduce false alarm rate

Key words: laser scanning welding, molten pool, spatter, boundary extraction, quality detection