基于控制图的磨削颤振预测方法

发布时间：2018-10-15 07:54

【摘要】：为了预测磨削过程中颤振的发生,提出一种基于休哈特控制图的磨削颤振预测方法.该方法基于统计质量控制中所遵循的"Kσ"原则来绘制颤振传感信号特征量的控制图,以监测识别磨削振动中不稳定性信号成分,达到快速准确预测磨削颤振的目的.首先,根据磨削加工过程中颤振信号的频谱分析得到颤振发生的敏感频段,以该频段能量占整个分析频段能量的百分比作为颤振特征量.然后,以平稳磨削过程振动信号的颤振特征量为统计特性值绘制控制图,并计算其均值和方差,进而得到控制图的上、下控制界限值.最后,利用控制图的判断准则对统计特性值是否发生异常波动进行判别,从而实现颤振预测.实验结果表明:基于控制图的磨削颤振预测方法能够准确地预测颤振的发生.
[Abstract]:In order to predict the occurrence of grinding chatter, a method of grinding chatter prediction based on Shewhart control chart is proposed. Based on the "K 蟽" principle in statistical quality control, the control chart of flutter sensing signal characteristic quantity is drawn in order to monitor and identify the unstable signal components in grinding vibration and to predict grinding chatter quickly and accurately. Firstly, according to the frequency spectrum analysis of the chatter signal in grinding process, the sensitive frequency band of flutter is obtained, and the percentage of the frequency band energy in the whole analysis frequency band is taken as the flutter characteristic. Then, the control chart is drawn with the chatter characteristic of the vibration signal of stationary grinding process as the statistical characteristic value, and its mean value and variance are calculated, and the upper and lower control limits of the control chart are obtained. Finally, the criteria of control chart are used to judge whether the statistical characteristic value has abnormal fluctuation or not, so as to realize the flutter prediction. The experimental results show that the grinding chatter prediction method based on control chart can accurately predict the occurrence of grinding chatter.
【作者单位】：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;
【基金】：北京市自然科学基金资助项目(3122005)
【分类号】：TG580.6

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