基于CMOS图像传感器的铣刀侧刃磨损检测误差自补偿方法研究  

Research on self-compensation method for milling cutter side edge wear detection error based on CMOS image sensor

作　　者：田崇顺 胥实现 李国超[1] 孙丽 唐莹 郭述豪 TIAN Chongshun;XU Shixian;LI Guochao;SUN Li;TANG Ying;GUO Shuhao(School of Mechanical Engineering,Jiangsu University of Science and Technology,Zhenjiang 212100,CHN;Department of Control Engineering,Rocket Force Engineering University,Xi’an 710025,CHN)

机构地区：[1]江苏科技大学机械工程学院,江苏镇江212100 [2]火箭军工程大学控制工程系,陕西西安710025

出　　处：《制造技术与机床》2023年第10期104-110,共7页Manufacturing Technology & Machine Tool

基　　金：国家自然科学基金(62203193,51605207);江苏省高等学校基础科学(自然科学)研究面上项目(21KJB510016)。

摘　　要：铣刀广泛用于船舶、医疗等各领域零部件的加工,由于刀具磨损直接影响工件的加工质量和加工效率,因此,针对工件加工过程中立铣刀侧刃的不规则磨损难以精确检测的问题,提出一种自适应拍摄角度的磨损误差补偿方法。通过分析拍摄角度对不同形状磨损域的影响规律,结合刀具结构参数建立刀具磨损量与拍摄角度之间的映射模型,实现因拍摄角度不同而导致的刀具磨损检测误差自动偿算。不同拍摄角度的实验结果表明,磨损检测精度大于95%,验证了磨损检测误差自补偿方法的可行性。该研究方法与思路对后续刀具磨损测量的高精度智能化检测具有借鉴意义。Milling cutters are widely used in the processing of components in various fields such as aviation,shipping,and healthcare.However,tool wear directly affects the machining quality and processing efficiency of the workpiece.A wear error compensation method with adaptive shooting angle was proposed.The problem that it is difficult to accurately measure the amount of tool wear during end mill machining has been solved.The influence of the shooting angle on different shape wear areas is analyzed.Then,the mapping model between the tool wear amount and the shooting angle combining with tool structure parameters were built.The methods can realize the automatic compensation of the detection error for tool wear caused by different shooting angles.The experimental results from different shooting angles show that the wear detection accuracy is greater than 95%,which verifies the feasibility of the self-compensation method for the wear detection error.The research methods and ideas in this paper provide references for the high-precision and intelligent tool wear detection.

关 键 词：CMOS图像传感器 磨损检测 拍摄角度 多项式拟合 自补偿方法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TG714[自动化与计算机技术—计算机科学与技术]