金刚石滚轮轮廓圆度误差在线判别  

Online recognition of contour error of diamond roller

作　　者：赵华东[1] 何鸿辉 朱振伟[1] 周帅康 刘畅[1] ZHAO Huadong;HE Honghui;ZHU Zhenwei;ZHOU Shuaikang;LIU Chang(College of Mechanical and Power Engineering,Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]郑州大学机械与动力工程学院,郑州450001

出　　处：《金刚石与磨料磨具工程》2024年第4期518-527,共10页Diamond & Abrasives Engineering

摘　　要：金刚石滚轮形面的修形技术是制造金刚石滚轮的关键技术之一,常采用金刚石砂轮磨削法对其进行精密修形,修形后的轮廓圆度误差是考量滚轮修形合格与否的重要指标。目前的轮廓圆度检测方法是人工停机取下滚轮并放置于轮廓仪上进行,极大地增加了滚轮制作的时间和成本。为此,对在五轴加工机床上的金刚石滚轮,沿其轮廓面横向磨削修形时产生的振动信号,提出基于小波包系数和随机森林的在线检测方法并对其轮廓修形状态进行识别,在修形进行状态时的识别准确率为93.3%,具有实际应用价值。Objectives:With the development of the manufacturing industry,precision grinding has become an indis-pensable part of the high-end manufacturing field.As a key tool for precision grinding,the surface reshaping techno-logy of diamond rollers is one of the critical technologies for making diamond rollers.Currently,the diamond grinding wheel grinding method is commonly used for diamond roller precision reshaping.In the process of precision reshaping,the surface profile of the diamond roller is an important indicator for assessing its reshaping quality.However,in the current reshaping detection,the workers often stop the machine to remove the rollers and place them on the profiler,which greatly increases the time and the cost of roller reshaping.Therefore,to improve the efficiency of diamond roller reshaping,a method based on sensors to monitor the state of contour reshaping during the process of diamond roller re-shaping is explored.Methods:To realize online monitoring and discrimination of the diamond roller contour reshaping state,the diamond roller grinding monitoring platform was first built according to the structure of the GC-X3 machine tool,and LabVIEW was used to read and save the signals collected by the acquisition card.Secondly,the diamond rollers with different contour reshaping states were processed by the GC-X3 machine tool,and the signals with different reshaping states collected by the computer were analyzed in time and frequency domains.The wavelet packet decom-position method was used to decompose the signals according to the characteristics of time and frequency domains,and the signals of different nodes obtained after decomposition were calculated and compared to identify and determine the characteristic values of the signals.Finally,the machine learning method was used to establish the recognition model of the diamond roller contour reshaping state.The model is based on the mapping relationship between the characteristic values of the vibration signals and the contour reshaping state to realize

关 键 词：金刚石滚轮 振动信号 小波包系数 在线识别 随机森林 

分 类 号：TQ164[化学工程—高温制品工业] TG58[金属学及工艺—金属切削加工及机床] TG74