摘要
文章以汽车智能制造中的机器人点焊加工工艺为例,探讨了焊接路径规划、干涉检测以及数字孪生技术在优化点焊工艺中的应用。通过建立机器人点焊工位的孪生模型,进行详细的搬运和焊接路径规划,进行重复仿真和干涉检测,研究了焊接工艺中参数设定与设备协同的重要性。研究结果表明,利用数字孪生技术可以有效提高焊接质量和生产效率,显著减少现场调试时间和成本。
This paper takes the robot spot welding process in automobile intelligent manufacturing as an example to discuss the application of welding path planning,interference detection,and digital twin technology in optimizing the spot welding process.By establishing a twin model of the robot spot welding station,conducting detailed handling and welding path planning,repeated simulations,and interference detection,the importance of parameter settings and equipment coordination in the welding process is analyzed.The results show that digital twin technology can effectively improve welding quality and production efficiency,while significantly reducing on-site commissioning time and cost.
作者
李歆怡
Li Xin-yi(Wuhan Railway Bridge Vocational College,Hubei Wuhan 430090)
出处
《内燃机与配件》
2025年第5期55-57,共3页
Internal Combustion Engine & Parts
关键词
工业机器人
汽车智能制造
点焊加工
Industrial robot
Automobile intelligent manufacturing
Spot welding process
作者简介
李歆怡(1992-),女,汉族,湖北武汉人,本科,讲师,研究方向:智能控制技术、机电一体化技术及产教融合。
