基于混沌理论砂轮磨钝过程声发射信号试验研究  

Experimental Study on Acoustic Emission Signals During Glunting Process of Grinding Wheels Based on Chaos Theory

作　　者：陈芸 杨嘉睿 金容鑫 赵淳 毛汉领[1] CHEN Yun;YANG Jiarui;JIN Rongxin;ZHAO Chun;MAO Hanling(School of Mechanical Engineering,Guangxi University,Nanning 530004,China)

机构地区：[1]广西大学机械工程学院,南宁530004

出　　处：《噪声与振动控制》2022年第5期148-153,193,共7页Noise and Vibration Control

基　　金：广西科技基地和人才专项资助(桂科AD19259002)。

摘　　要：针对砂轮磨钝过程中声发射信号的非线性特性,通过采集到的砂轮初期、稳定、严重三个不同磨损阶段的声发射信号,在混沌理论的基础上,提取砂轮磨钝过程声发射信号的最大Lyapunov指数、关联维数以及K熵这三个特征量并进行计算、分析。结果表明,砂轮磨钝过程声发射信号的最大Lyapunov指数、关联维数和K熵与砂轮磨损阶段存在着对应关系,可以用这三个混沌特征量来对砂轮的不同磨损阶段进行表征,为运用声发射信号实现砂轮磨钝过程的检测提供了一种新的思路。Nonlinear characteristics of acoustic emission signals in the process of grinding wheel blunting are studied.The acoustic emission signals of the grinding wheel in three different stages, such as initial wear stage, stable wear stage and severe wear stage, are collected. Based on the chaos theory, the maximum Lyapunov exponent, correlation dimension and Kentropy of the signals in the grinding wheel blunting process are extracted and analyzed. The results show that the maximum Lyapunov exponent, correlation dimension and K-entropy of the acoustic emission signal in the grinding wheel blunting process are closely related to the grinding wheel wear stages. Therefore, the three chaotic characteristic variables can be used to characterize different wear stages of the grinding wheel. This conclusion provides a new idea for detecting the grinding wheel blunting stages by using acoustic emission signals.

关 键 词：声学 砂轮磨钝 声发射 混沌理论 LYAPUNOV指数 关联维数 K熵 

分 类 号：TH165.3[机械工程—机械制造及自动化]