精密数控车床主轴热误差建模

郭辰光; 韩雪; 李源; 谢华龙

doi:10.3788/OPE.20162407.1731

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精密数控车床主轴热误差建模

微纳技术与精密机械 | 更新时间：2020-08-13

- 精密数控车床主轴热误差建模
- Thermal error modeling for spindle system of precision CNC lathe
- 光学精密工程 2016年24卷第7期页码：1731-1742
- 作者机构：
  
  1.辽宁工程技术大学机械工程学院, 辽宁阜新 123000
  2.东北大学先进制造与自动化技术研究所, 辽宁沈阳 110819
- 作者简介：
  
  郭辰光(1982-), 男, 辽宁朝阳人, 博士, 讲师, 2005年于沈阳建筑大学获得学士学位, 2008年、2011于东北大学分别获得硕士、博士学位, 主要从事高档数控机床及自动化技术方面的研究。E-mail:gchg_neu@163.com E-mail:gchg_neu@163.com
  [ "韩雪(1990-), 女, 辽宁本溪人, 硕士, 2012年、2016于辽宁工程技术大学分别获得学士、硕士学位, 主要从事智能控制与优化算法研究。E-mail:hanxue.boda@163.com" ]
- 基金信息：
  
  国家“十二五”科技支撑计划资助项目(2012BAF12B08);国家自然科学基金资助项目(51475087);辽宁省科技计划项目(20131043);辽宁省煤矿液压技术与装备工程研究中心开放课题基金资助项目(CMHT-201208)
- DOI：10.3788/OPE.20162407.1731
  中图分类号： TG502.15;TG659
- 收稿日期：2016-01-26，
  
  录用日期：2016-3-31，
  
  纸质出版日期：2016-07
- 稿件说明：
移动端阅览
郭辰光, 韩雪, 李源, 等. 精密数控车床主轴热误差建模[J]. 光学精密工程, 2016,24(7):1731-1742.

Chen-guang GUO, Xue HAN, Yuan LI, et al. Thermal error modeling for spindle system of precision CNC lathe[J]. Optics and precision engineering, 2016, 24(7): 1731-1742.
郭辰光, 韩雪, 李源, 等. 精密数控车床主轴热误差建模[J]. 光学精密工程, 2016,24(7):1731-1742. DOI： 10.3788/OPE.20162407.1731.

Chen-guang GUO, Xue HAN, Yuan LI, et al. Thermal error modeling for spindle system of precision CNC lathe[J]. Optics and precision engineering, 2016, 24(7): 1731-1742. DOI： 10.3788/OPE.20162407.1731.

摘要

开展了精密数控车床主轴系统热误差补偿的实验与建模方法的研究。建立了精密数控车床主轴系统轴向与径向偏转热误差补偿模型以增强其误差补偿能力，并提高机床加工精度。构建了主轴系统热误差测试平台，应用五点法测试主轴系统热误差，使用热电偶与红外热像仪测量主轴系统温升关键点温度变化数据，应用灰色综合关联分析法实现温度敏感测点辨识。构建了基于粒子滤波重采样粒子群算法的热误差预测模型，对模型预测效果进行评价。结果表明：基于粒子滤波重采样粒子群热误差补偿模型得到的轴向热误差预测残差为-1.29

m～1.55

m，建模精度为95.04%；

向热偏转误差预测残差为-4.68×10

-6

°～9.66×10

-6

建模精度为91.26%；

向热偏转误差预测残差为-5.83×10

-6

°～8.59×10

-6

建模精度为93.24%。实验结果证明该热误差补偿模型具有较高的预测精度，具有较强的工程应用价值。

Abstract

The experiments and modeling of thermal error compensation for the spindle system of a Computer Numerical Control (CNC) lathe were researched. A thermal error compensation model for the Spindle system of CNC lathe at axial and radial directions was established to enhance its error compensation ability and to improve the machining precision. A test platform for the thermal error of the spindle system was built. The five point method was used to test the thermal error of the spindle system

and a thermocouple and a infrared thermal imager were taken to measure the temperature changes of the spindle system. Then the gray comprehensive correlation analysis method was used to identify the temperature-sensitive measurement points and to construct thermal error prediction model based on re-sampling step particle swam optimization to evaluate the model effect. The prediction results on the thermal error compensation model based on re-sampling step particle swam optimization show that the axial residual thermal error is-1.29

m-1.55

and the modeling accuracy is 95.04%. The thermal residual error along

direction is-4.68×10

-6

°-9.66×10

-6

and the modeling accuracy is 91.26%. The thermal residual error along

direction is-5.83×10

-6

°-8.59×10

-6

and the modeling accuracy is 93.24%. The research shows that the thermal error compensation model has high precision and a strong engineering application value.

关键词

Keywords

references

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