金属加工（热加工）Issue(9)：15-20,24,7.
基于声发射技术的金属烧伤监测
Metal burn monitoring based on acoustic emission
摘要
Abstract
In the process of grinding processing,grinding heat results in metal surface burn on parts,leading to reduced strength,increased residual stress,and other performance changes with significant security risks.Acoustic Emission(AE)technology is widely employed for monitoring grinding burn in machine tools due to its sensitivity to weak signals and ability to detect high-frequency signals.However,the accuracy of grinding burn monitoring is not ideal due to strong interference signals such as metal particle spalling and friction during the grinding process.Meanwhile,the characteristics of metal burn signal is unknown.To improve the accuracy of burn signal recognition,it is necessary to investigate the characteristics of metal burn AE signals independently.Therefore,a laser experiment was designed and conducted to simulate the grinding burn process in order to obtain pure metal burn signals.By adjusting laser energy levels,four degrees of surface metal burns were generated.It was observed that as the metal burn degree increased,the spectrum of AE signals moved to higher frequency bandwidth.Based on this phenomenon,Wavelet packet transform(WPT)was utilized to extract dominant frequency bandwidths of metal burn signals.The extracted feature vectors were then input into Principal Component Analysis(PCA)algorithm for clustering and identification metal burn signals.关键词
磨削烧伤/声发射信号/小波包变换/激光烧伤Key words
grinding burn/acoustic emission/WPT/laser burn引用本文复制引用
陈珍,吴聘,杨壮,高哲瑜..基于声发射技术的金属烧伤监测[J].金属加工（热加工）,2024,(9):15-20,24,7.基金项目
中电工程公司重大科技专项(DG3-F01-2023) （DG3-F01-2023）
陕西省自然科学基础研究计划(2024JC-YBQN-0550). （2024JC-YBQN-0550）
