摘要
刀具磨损状况的有效检测不仅能提高刀具本身的利用率,还能提高工件的加工精度,延长机床的使用年限。刀具磨损状况的准确检测是当前智能加工技术的主要发展方向,通过回顾近年来刀具磨损状况的检测方法,着重分析了检测信号的获取、特征提取及模式识别等关键技术,并由此提出了一种可操作性强、不影响机床加工的刀具磨损状况智能检测新方法。最后,针对刀具磨损状况的检测应用现状和存在不足进行了探讨,并对未来的智能检测方法发展方向进行了展望,以期得到更好的刀具磨损状况智能检测方法,促进刀具磨损状况检测技术在智能装备中的应用与推广。
The effective detection of the tool wear condition not only improves the utilization of the tool itself,but also improves the machining accuracy of the workpiece and prolongs the service life of the machine tool.The accurate detection of tool wear condition is the main development direction of current intelligent machining technology.The research status of detection of tool wear condition was reviewed,and the principle and method of the key technologies in intelligent detection system including sensor selection,feature extraction and pattern recognition were analyzed in depth.And thus a new method for intelligent detection of tool wear condition that is maneuverable and does not affect the machining was proposed.Finally,the application status,existing problems and future direction of tool wear condition detection were discussed in details.The progress will be expected to improve the reliability of tool wear condition intelligent detection system and promote its application in the intelligent equipments.
作者
袁军
刘丽冰
张艳蕊
杨泽青
YUAN Jun;LIU Libing;ZHANG Yanrui;YANG Zeqing(School of Mechanical Engineering,Hebei University of Technology,Tianjin 300130,China;Experimental Training Center,Hebei University of Technology,Tianjin 300401,China)
出处
《现代制造工程》
CSCD
北大核心
2021年第3期152-160,共9页
Modern Manufacturing Engineering
基金
国家自然科学基金项目(51305124)。
关键词
刀具磨损
智能检测
特征提取
模式识别
智能装备
tool wear
intelligent detection
feature extraction
pattern recognition
intelligent equipments
