自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

您目前所在的位置:首页 - 期刊简介 - 详细页面

中南大学学报(自然科学版)

Journal of Central South University

第51卷    第6期    总第310期    2020年6月

[PDF全文下载]    [Flash在线阅读]

    

文章编号:1672-7207(2020)06-1501-08
数控周边磨床主轴系统热关键点选取及热误差建模
廖启豪,王玲,殷国富,谢政峰

(四川大学 机械工程学院,四川 成都,610065)

摘 要: 为了提高数控机床主轴系统热误差建模的精度和鲁棒性,提出一种基于时间特性的热关键点选取方法。该方法结合模糊C均值聚类和基于时间特性的排序标准,完全依赖于热误差实验获得的温度测点的温度,避免了基于相关性的热关键点选取方法在不同热误差实验下的不稳定性。通过在周边磨床主轴系统上进行热误差实验,将该方法应用于主轴系统热误差建模。研究结果表明:基于时间特性的热关键点选取方法对多元线性回归、BP神经网络、支持向量机等回归模型的建模精度都有不同程度提升;在3种模型的9组预测中,均方根误差降幅最低为6%,最高为40%,证明了基于时间特性的热关键点选取方法能有效提高热误差建模的精度和鲁棒性。

 

关键字: 主轴系统;热关键点;热误差建模

Thermal key points selection and thermal error modeling of spindle system of CNC peripheral grinding machine
LIAO Qihao, WANG Ling, YIN Guofu, XIE Zhengfeng

School of Mechanical Engineering, Sichuan University, Chengdu 610065, China

Abstract:In order to improve the accuracy and robustness of thermal error modeling of computer numerical control(CNC) machine tool spindle system, a thermal key points selection method based on time characteristic was proposed. This method combines the fuzzy C-means clustering and the ranking criterion based on time characteristic. It relies entirely on the temperature of temperature measurement points obtained from thermal error experiments, and avoids the instability of the thermal key points selection method based on correlation in different thermal error experiments. Through the thermal error experiments on the spindle system of the peripheral grinding machine, the method was applied to the thermal error modeling of the spindle system. The results show that the thermal key point selection method based on time characteristic can improve the modeling accuracy of multiple linear regression, BP neural network, and support vector machine to varying degrees. Among the 9 predictions of the three models, the root mean square error(RMSE) is reduced by 6% to 40%, which proves the effectiveness of the thermal key points selection method based on time characteristic in improving the accuracy and robustness of thermal error modeling.

 

Key words: spindle system; thermal key points; thermal error modeling

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
版权所有:《中南大学学报(自然科学版、英文版)》编辑部
地 址:湖南省长沙市中南大学 邮编: 410083
电 话: 0731-88879765(中) 88836963(英) 传真: 0731-88877727
电子邮箱:zngdxb@csu.edu.cn 湘ICP备09001153号