摘要
针对交通运输、航空航天、能源国防等高端装备制造领域复杂构件表面缺陷高效高品质修复加工重大需求,对近年来以机器人为制造装备执行体的机器人修复加工技术的研究进展进行了综述。具体围绕机器人修复所涉及的缺陷视觉测量、路径决策规划、加工质量控制等关键技术,系统分析了国内外已公开发表的相关文献,并以汽车车身、高铁车身与发动机叶片为例,阐述了机器人缺陷修复工程应用。最后从多机器人协同、在线信息交互、动态性能监控、混合加工工艺等方面对该领域未来研究方向进行了展望。
To address the significant demand for efficient,high-quality repair and machining of surface defects of complex components in high-end equipment manufacturing fields such as transportation,aerospace,energy and defense,the research progress in recent years on robotic repair and machining technology is reviewed.This research systematically analyzes the relevant literature published at domestic and international level around the key technologies of defect visual measurement,path decision planning,and machining quality control involved in robotic repair.It also describes the engineering applications of robotic repair by taking automotive body,high-speed rail body and turbine blade as examples.Finally,the future research directions of this field are envisioned from the aspects of multi-robot collaboration,online information interaction,dynamic performance monitoring,and hybrid machining process.
作者
朱大虎
王升哲
徐子嫣
王宜丹
华林
ZHU Dahu;WANG Shengzhe;XU Ziyan;WANG Yidan;HUA Lin(Hubei Key Laboratory of Advanced Automotive Components Technology,Wuhan University of Technology,Wuhan 430070;Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan 430070;State Key Laboratory of Advanced Technology for Materials Synthesis and Processing,Wuhan University of Technology,Wuhan 430070)
出处
《机械工程学报》
北大核心
2025年第11期1-22,共22页
Journal of Mechanical Engineering
基金
国家重点研发计划(2022YFB4700501)
国家自然科学基金(52375509)资助项目。
关键词
机器人修复加工
复杂构件
视觉测量
路径决策
质量控制
robotic repair machining
complex components
vision measurement
path decision
quality control
