摘要
实验研究了不同切深下单颗金刚石磨粒分别划擦氧化铝和氧化锆陶瓷时的声发射信号的频谱和特征值,并对金刚石磨粒划擦氧化铝和氧化锆陶瓷时的声发射信号建立合适阶次的时间序列自回归滑动平均模型.研究结果表明,随着切深的增大氧化铝的划擦声发射信号在0~110 kHz主频段的能量增大,并且声发射信号最大幅值在较高频率;随着切深的增加氧化锆划擦声发射信号在0~100 kHz主频段的能量减少,并且声发射信号最大幅值在较低频率;同时划擦声发射信号特征值会随着切深的增大而增加.合适的自回归滑动平均模型与单颗金刚石磨粒分别划擦氧化铝和氧化锆陶瓷时的声发射信号有较高的相似度,其特征参数与单颗磨粒切深之间也具有良好的线性关系,说明合适的自回归滑动平均模型能较好地表征单颗金刚石磨粒划擦氧化铝和氧化锆的声发射信号特征,并可实时分析单颗金刚石磨粒划擦陶瓷的深度.
The spectrum and characteristic values of acoustic emission signals of single diamond grit scratching alumina and zirconia ceramics at different cutting depths were studied experimentally.A time series Auto Regressive Moving Average(ARMA)model was established for the acoustic emission of diamond grit scratching alumina and zirconia ceramics by appropriate time series model and model order.The main frequency of single diamond grit scratching on alumina and zirconia ceramics is dominant on the frequency band of 0~110 kHz.The results show that the main frequency band energy of scratch alumina Acoustic Emission(AE)signal increases with the increase of cutting depth,and the maximum amplitude of AE signal is at a higher frequency in the main frequency band.The main frequency band energy of scratch zirconia Acoustic Emission(AE)signal decreases with the increase of cutting depth,and the maximum amplitude of AE signal is at a lower frequency in the main frequency band.The eigenvalues of the acoustic emission signal will increase with the increase of the depth of cut.The appropriate ARMA model has a high similarity with the acoustic emission signal of diamond grit scratching alumina and zirconia ceramics,and the linear relationship between the characteristic value and the cutting depth is also good.It shows that the appropriate ARMA model can better characterize the acoustic emission signal characteristics of single diamond grit scratching alumina and zirconia ceramics.The real time analysis of scratching depth of single diamond grit can be done by use of the appropriate ARMA model.
作者
郭力
王伟程
郭君涛
GUO Li;WANG Weicheng;GUO Juntao(College of Mechanical and Vehicle Engineering,Hunan University,Changsha 410082,China)
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2020年第2期67-77,共11页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(51475157)。
关键词
单颗金刚石磨粒
声发射
时间序列
自回归滑动平均模型
工程陶瓷
single diamond grit
Acoustic Emission(AE)
time series
Auto Regression Moving Average(ARMA)
engineering ceramics
