Grey correlation analysis of milling temperature and milling vibration of TC4 titanium alloy

被引：4
|
作者：
Li S. [1 ,2 ]
Hu Y. [1 ]
Popov E. [2 ,3 ]
机构：
[1] School of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou
[2] JSNU-SPBPU Institute of Engineering, Jiangsu Normal University, Xuzhou
[3] Higher School of Applied Physics and Space Technologies, Peter the Great St Petersburg Polytechnic University
来源：
Noise and Vibration Worldwide | 2022年 / 53卷 / 06期
关键词：
grey correlation analysis; milling parameters; Milling temperature; milling vibration;
D O I：
10.1177/09574565221093251
中图分类号：
学科分类号：
摘要：
In this paper, a synchronous acquisition system of milling temperature and milling vibration was established to measure the data of milling temperature and milling vibration. Based on grey correlation theory, the influence of milling parameters and milling vibration on milling temperature was analyzed. It is found that the grey correlation degree between milling temperature and milling parameters and vibration is above 0.70, indicating that milling parameters and vibration have great influence on temperature. In addition, the GM (0, N) grey prediction model of milling temperature on milling parameters and milling vibration was established, and the correlation coefficient of the model was above 0.8, indicating that the reliability of the model was high, and the correlation between milling temperature and milling vibration signal was high. © The Author(s) 2022.
引用
收藏
页码：330 / 339
页数：9
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