基于ARIMA的磨削颤振预测方法  

Prediction of Grinding Chatter Based on the ARIMA

作　　者：王民[1] 冯猛[1] 姚子良[1] 昝涛[1] 

机构地区：[1]北京工业大学机械工程与应用电子技术学院先进制造技术北京市重点实验室,北京100124

出　　处：《北京工业大学学报》2016年第4期609-613,共5页Journal of Beijing University of Technology

基　　金：国家科技重大专项资助项目(2012ZX04010021-001-004);北京市自然科学基金暨北京市教育委员会科技计划重点资助项目(KZ201410005010)

摘　　要：磨削颤振会加剧砂轮的磨损并对磨削加工质量造成严重影响,甚至会对磨床本身造成破坏.为了避免磨削颤振的发生,提高磨削加工效率,通过对磨削过程振动信号进行分析,提取固有频率频带能量百分比R作为磨削颤振的特征量,提出一种基于自回归积分移动平均(autoregression integrated moving average,ARIMA)模型的磨削颤振预测方法.试验结果表明:在磨削过程中,固有频率频带能量会随着磨削状态的变化而变化,利用稳定磨削状态下的固有频率频带能量百分比建立ARIMA预测模型,预测结果与真实值十分接近,能够准确预测磨削颤振的发生.Grinding chatter exacerbates the wear of grinding wheel and sacrifices the grinding quality of the workpiece, even damages the grinding machine. In order to avoid the occurrence of grinding chatter and impr ove the grinding efficiency, grinding chatter experiments are implemented and the natural frequency-band energy ratio R of grinding chatter vibration was selected as the characteristic of grinding chatter. Based on the developing tendency estimation of this characteristic, a prediction method of grinding chatter was put forward based on the ARIMA model. Experimental Results show that this prediction method can forecast the occurrence of grinding chatter accurately and rapidly.

关 键 词：磨削颤振 自回归积分移动平均模型(ARIMA) 频带能量比 

分 类 号：TH116[机械工程—机械设计及理论]