Scholarlink

<p>Thin plate lap welding is a critical technique in automotive manufacturing, significantly impacting structural safety and reliability. This study presents a visual servo control welding system designed for this application, incorporating a novel pulse MAG welding technique with optimized arc light suppression. The system employs precise image processing algorithms and a robust control framework to achieve real-time seam tracking and welding control. By separately designing image processing methods based on Otsu’s thresholding algorithm and Gaussian line detection, the integrated system maintains weld line deviations within 0.5 mm during operations, achieving a mean absolute error of 0.15 mm, a root mean square error of 0.21 mm, and an in-tolerance percentage of 94.4% after the first entry into the steady-state error range. The welding control system, enhanced by a negative feedback mechanism and optimized control strategies, significantly improves process stability and accuracy. Experimental results validate the effectiveness of the proposed system and methods in achieving real-time seam tracking and producing quality welds, demonstrating its potential to enhance efficiency and reliability in thin plate lap welding processes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Seam tracking and visual welding control in lap joint welding with Otsu’s thresholding and Gaussian line detection

  • 期刊论文

  • 发表日期：

    2025年2月6日

查看全文
  • Weixi Wang,
  • Xiaoqing Zhang,
  • Zheng Zhang,
  • Satoshi Yamane,
  • Qi Wang,
  • Liang Shan,
  • Bochao Zheng,
  • Yuxiong Xia,
  • Dalu Wang

摘要

Thin plate lap welding is a critical technique in automotive manufacturing, significantly impacting structural safety and reliability. This study presents a visual servo control welding system designed for this application, incorporating a novel pulse MAG welding technique with optimized arc light suppression. The system employs precise image processing algorithms and a robust control framework to achieve real-time seam tracking and welding control. By separately designing image processing methods based on Otsu’s thresholding algorithm and Gaussian line detection, the integrated system maintains weld line deviations within 0.5 mm during operations, achieving a mean absolute error of 0.15 mm, a root mean square error of 0.21 mm, and an in-tolerance percentage of 94.4% after the first entry into the steady-state error range. The welding control system, enhanced by a negative feedback mechanism and optimized control strategies, significantly improves process stability and accuracy. Experimental results validate the effectiveness of the proposed system and methods in achieving real-time seam tracking and producing quality welds, demonstrating its potential to enhance efficiency and reliability in thin plate lap welding processes.