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数控机床旋转轴多自由度静/热误差同步测量与建模

李国龙 肖扬 李喆裕 徐凯 张薇

中国机械工程2024,Vol.35Issue(8):1426-1434,9.
中国机械工程2024,Vol.35Issue(8):1426-1434,9.DOI:10.3969/j.issn.1004-132X.2024.08.011

数控机床旋转轴多自由度静/热误差同步测量与建模

Simultaneous Measurement and Modeling of MDOF Static/Thermal Errors of CNC Machine Tool Rotational Axes

李国龙 1肖扬 1李喆裕 1徐凯 2张薇1

作者信息

  • 1. 重庆大学机械传动国家重点实验室,重庆,400044
  • 2. 重庆理工大学机械工程学院,重庆,400054
  • 折叠

摘要

Abstract

Existing measurement and modeling methods for CNC machine tool rotational axis er-rors only considered the influences of multiple degrees of freedom(MDOF)static geometric errors or single degree of freedom thermal errors acting in isolation without accounting for the coupled effects,a simultaneous measurement and modeling for MDOF static/thermal errors in CNC machine tool rota-tional axes was proposed based on a double ball bar.Firstly,a model was developed to describe the variation in length of the double ball bar using homogeneous coordinate transformation.A static/ther-mal error identification model was constructed by solving a system of nonhomogeneous linear equa-tions based on this model.Subsequently,to minimize the influences of thermal dissipation on the measurement results,a specific installation mode adapted to the simultaneous measurement of MDOF static/thermal errors was designed to reduce the installation time of the double ball bar.Additionally,a prediction model for MDOF static/thermal errors in rotational axis was established using a CNN-LSTM.Finally,experiments were conducted on the C-axis of a gear grinding machine to rapidly iden-tify the rotational axis errors at various speeds.The accuracy of the prediction model was verified by utilizing the static/thermal error model to predict the errors of C-axis and the variation in length of the double ball bar.

关键词

静/热误差/误差测量/卷积长短期记忆神经网络/旋转轴/球杆仪

Key words

static/thermal error/error measurement/convolutional neural network long-short-term memory(CNN-LSTM)/rotating axis/double ball bar

分类

机械制造

引用本文复制引用

李国龙,肖扬,李喆裕,徐凯,张薇..数控机床旋转轴多自由度静/热误差同步测量与建模[J].中国机械工程,2024,35(8):1426-1434,9.

基金项目

国家自然科学基金企业创新联合基金重点项目(U22B2084) (U22B2084)

重庆英才计划"包干制"项目(cstc2022ycjh-bgzxm0060) (cstc2022ycjh-bgzxm0060)

中国机械工程

OA北大核心CSTPCD

1004-132X

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