摘要
为了避免平面磨削加工过程中出现颤振,提出一种基于最大熵与交叉熵的平面磨削颤振预测方法。该方法采用最大信息熵对平面磨削加工过程中振动信号的概率密度进行估计,获得加工过程中振动信号的最大熵概率密度分布,采用交叉熵分析在不同磨削状态时振动信号最大熵概率密度分布的变化,通过交叉熵值对平面磨削加工过程中的颤振进行预测。为了验证该方法的有效性,在平面磨床实验平台上采用变磨削深度的加工方式趋于颤振,根据实验中测量的振动信号,比较了趋于颤振时砂轮主轴部位和工作台部位振动信号的特点,选择工作台部位的振动信号为研究对象,采用该方法对磨削加工分别处于顺磨、逆磨以及混合磨削时工作台不同方向的振动信号进行分析,实验结果表明该方法在平面磨削颤振预测中是有效的。
To study how to avoid chatter in surface grinding process,the maximum entropy principle and cross entropy are developed based on information theroy to predict chatter.In the methods,firstly,maximum entropy principle is conducted to estimate probability density of vibration signals which are detected in the surface grinding process.Then,cross entropy is undertaken to quantify changes in maximum entropy probability density,and is used to predict grinding chatter in surface grinding process.In this paper,in order to verify the validity of the methods,grinding experimental platform is built which mainly include the experiment of varying grinding depths that tend to grinding chatter state.Vibration signals of worktable is selected as object of study,according to characteristic of the vibration signals measured in the experiment.The methods of the paper is used to analysize vibration signals of down-grinding,up-grinding,and mixed grinding in different directions.The experimental results show that values of the methods are increased,and the methods as a predicting index of grinding chatter is valid.
出处
《振动工程学报》
EI
CSCD
北大核心
2013年第5期786-791,共6页
Journal of Vibration Engineering
基金
国家科技重大专项资助项目(2011zx04016-021)
关键词
磨削颤振
平面磨削
概率密度
最大信息熵
交叉熵
grinding chatter
surface grinding
probability density
maximum entropy
cross entropy
作者简介
董新峰（1985-）,男,博士研究生.电话：15216767505.
