Selection of optimum spindle speed to thermal error compensation of machine tools

MIAO En-ming; LV Xuan-xuan; MIAO Ji-chao; DANG Lian-chun

doi:10.3788/OPE.20152311.3176

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Selection of optimum spindle speed to thermal error compensation of machine tools

更新时间：2020-08-13

- Selection of optimum spindle speed to thermal error compensation of machine tools
- Optics and Precision Engineering Vol. 23, Issue 11, Pages: 3176-3182(2015)
- 作者机构：
  
  合肥工业大学仪器科学与光电工程学院,安徽合肥,230009
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152311.3176
  CLC： TG659;TH161
- Received：07 March 2015，
  
  Revised：15 April 2015，
  
  Published：25 November 2015
- 稿件说明：
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苗恩铭, 吕玄玄, 苗继超等. 数控机床热误差补偿最佳转速选择[J]. 光学精密工程, 2015,23(11): 3176-3182

MIAO En-ming, LV Xuan-xuan, MIAO Ji-chao etc. Selection of optimum spindle speed to thermal error compensation of machine tools[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3176-3182
苗恩铭, 吕玄玄, 苗继超等. 数控机床热误差补偿最佳转速选择[J]. 光学精密工程, 2015,23(11): 3176-3182 DOI： 10.3788/OPE.20152311.3176.

MIAO En-ming, LV Xuan-xuan, MIAO Ji-chao etc. Selection of optimum spindle speed to thermal error compensation of machine tools[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3176-3182 DOI： 10.3788/OPE.20152311.3176.

摘要

为提高数控机床热误差补偿模型在实际工程应用中的补偿精度和稳健性

研究了热误差补偿建模时机床最佳转速状态的选择方法。首先

以Leaderway V-450数控加工中心主轴

向为研究对象

控制机床主轴在空转状态下

以图谱和恒定转速两种方式进行了多批次实验。然后

采用模糊聚类结合灰色关联度选择温度敏感点并建立多元线性回归模型。最后

分析不同转速类型下模型的预测效果并对同种转速类型下模型预测效果进行相对评价

从而给出热误差补偿建模时机床最佳转速状态的选择方法。实验结果表明

根据国际标准中不同主轴转速类型建立的热误差补偿模型

对于机床热误差预测效果存在较大差异。根据实际工程应用选择的最佳转速状态建立的补偿模型有较好的预测效果。

Abstract

To improve the compensation accuracy and robustness of a thermal error compensation model for Computer Numerical Control(CNC) machine center in practical engineering applications

a selection method for the optimal speed of CNC machine center was presented. For the

-axis of Leaderway V-450 CNC machining center

several batches of experiments were carried out at a variable speed spectrum and a constant speed by controlling the spindle in an idling condition. Then

fuzzy clustering method combined with the gray correlation was used to select the temperature sensitive point and establish multiple linear regression models. Finally

by analysis of the model predictive effect in different type speeds and comparison of the model predictive effect in the same speed type

a selection method for the optimum spindle speed of CNC center in modeling of thermal error compensation was given. The research results show that thermal error compensation models established by different spindle speed regimes based on the international standard have great differences in the thermal error predictive effect of machine tools. It suggests that the compensation model based on optimum spindle speeds selected by practical engineering application will provide a good prediction effect.

关键词

Keywords

references

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Related Institution

Beijing Key Laboratory of Advanced Manufacturing Technology， Beijing University of Technology

Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, Zhejiang University

Key Laboratory of Air-driven Equipment Technology of Zhejiang Province, Quzhou University

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School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Heifei

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