金属加工（热加工）Issue(6)：22-27,6.
基于坡口形态视觉感知的焊接参数自主优化研究
Research on autonomous optimization of welding parameters based on visual perception of groove shape
摘要
Abstract
To address the challenge of intelligent upgrading of robotic welding,this study innovatively proposes an autonomous optimization strategy for welding parameters based on visual perception of groove morphology,focusing on enhancing the dynamic adaptability of the welding system to large-scale grooves.By constructing a geometric constraint-driven swing model and integrating a laser vision sensor to achieve real-time capture of groove topography,the system can dynamically adjust the swing trajectory based on groove characteristics.The study used a dual verification method of comparative experiments and contour accuracy analysis,and the results showed that the swing model effectively reduced the heat density of the weld,while accurately controlling the weld width within the range of 11.0～12.1mm,significantly improving the stability and forming quality of the welding process.关键词
智能焊接/视觉感知/焊接控制/摆动模型Key words
intelligent welding/visual perception/welding control/swing model引用本文复制引用
马志,刘冲,程永超,闫朝阳,陈树君..基于坡口形态视觉感知的焊接参数自主优化研究[J].金属加工（热加工）,2025,(6):22-27,6.基金项目
国家自然科学基金(52205322) （52205322）
北京市自然科学基金(3242001). （3242001）
