基于声发射信号分析的刀具磨损状态在线监测研究  

Analysis of Acoustic Emission Signal of Cutting Tool Wear State Based on Acoustic Emission Technology

作　　者：周兆锋[1] 洪捐[1] 黄传锦[1] Zhou Zhaofeng;Hong Juan;Huang Chuanjin(College of Mechanical Engineering,Yancheng Institute of Technology,Yancheng,Jiangsu 224000,China;不详)

机构地区：[1]盐城工学院机械工程学院,江苏省盐城市224000

出　　处：《工具技术》2022年第12期51-55,共5页Tool Engineering

基　　金：国家自然科学基金青年基金(51805466);江苏省自然科学基金青年基金(BK20181055);江苏省产学研合作项目(BY2021432)。

摘　　要：基于声发射技术对刀具磨损的不同状态进行在线分析,运用傅里叶变换识别信号和刀具磨损变化相对应的特征信号,对采集到的数据进行对比分析;基于小波分析对信号进行局部化处理,主要使用小波包分析和能量法来观察频率的变化趋势,并提取特征信号;分析过程基于MATLAB软件编写的工程代码,实现信号的傅里叶变换和小波变换,得到各节点的能量图;最终构建特征信号和磨损状态的相呼应的关系。This paper makes corresponding online analysis of different tool wear states based on acoustic emission technology,fourier transform is used to distinguish the characteristic signal corresponding to the change of tool wear,and the collected data are compared and analyzed.Based on wavelet analysis,it is equivalent to localizing the signal.This paper mainly uses wavelet packet analysis,especially the energy method to observe the change trend of frequency and extract the characteristic signal.The analysis process is based on MATLAB software,in which the appropriate engineering code is written to realize the Fourier transform and wavelet transform of the signal,and the energy diagram of each node is obtained.The corresponding relationship between characteristic signal and wear state is constructed.

关 键 词：切削加工 刀具 磨损 声发射 信号 

分 类 号：TG71[金属学及工艺—刀具与模具] TH117[机械工程—机械设计及理论] TP183[自动化与计算机技术—控制理论与控制工程]