工程陶瓷磨削过程的声发射在线监测研究进展  

Research Progress of Acoustic Emission On-line Monitoring in the Grinding Process of Engineering Ceramics

作　　者：万林林 周启明[1,2] 邓朝晖 WAN Linlin;ZHOU Qiming;DENG Zhaohui(Intelligent Manufacturing Institute of Hunan University of Science Technology,Xiangtan 411201,Hunan,China;Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material,Hunan University of Science Technology,Xiangtan 411201,Hunan,China)

机构地区：[1]湖南科技大学智能制造研究院,湖南湘潭411201 [2]湖南科技大学难加工材料高效精密加工湖南省重点实验室,湖南湘潭411201

出　　处：《材料导报》2023年第4期80-90,共11页Materials Reports

基　　金：湖南省自然科学基金(2020JJ4309);湖南省教育厅科学研究项目(19A163)。

摘　　要：工程陶瓷作为典型的硬脆性材料,其加工主要通过超硬精细磨料的精密磨削及研磨实现。在线监测磨削过程从而及时调整工艺参数是保证工件表面质量、提高磨削加工效率的重要途径,声发射凭借灵敏度高、实时响应的特性在磨削过程监测中得到了广泛的应用。本文阐述了声发射技术的基本原理,总结了磨削过程中声发射监测常用的信号分析方法,综述了声发射技术应用于工程陶瓷磨削过程中砂轮磨损与修整监测、磨削烧伤监测、工件表面质量预测及智能磨削智能监控系统构建等领域的国内外研究进展,并结合当前现状与不足对未来声发射技术在磨削加工监测中的应用前景进行了展望,以期推动声发射技术在工程陶瓷磨削监测领域的应用扩展。As a typical hard and brittle material,advanced ceramics are machined mainly by precision grinding and lapping of superhard fine abrasives.On-line monitoring of grinding process and timely adjustment of process parameters is an important way to ensure the surface quality of workpiece and improve grinding efficiency.Acoustic emission(AE)has been widely used in grinding process monitoring because of its high sensitivity and real-time response.This paper describes the basic principle of AE technology,summarizes the common signal analysis methods of AE monitoring in grinding process of advanced ceramics,as well as the research progress of AE technology in the fields of grinding wheel wear and dressing monitoring,grinding burn monitoring,workpiece surface quality prediction and intelligent grinding monitoring system construction at home and abroad.Combined with the current situation and shortcomings,the future application prospect of AE technology in grinding monitoring is prospected in order to promote the application expansion of AE technology in advanced ceramics grinding monitoring.

关 键 词：声发射 工程陶瓷 模式识别 砂轮磨损 磨削烧伤 智能监测 

分 类 号：TH16[机械工程—机械制造及自动化] TH145[一般工业技术—材料科学与工程]