Volumetric error modeling and prediction for machine tools based on key component tolerance

IF 6.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY alexandria engineering journal Pub Date : 2024-10-22 DOI:10.1016/j.aej.2024.10.051
Jinwei Fan, Zhuang Li, Ri Pan, Kun Sun, Kai Chen
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Abstract

Accurate volumetric error model is the basis for accuracy design. In this paper, a universal model for volumetric error prediction considering tolerance is proposed. Firstly, geometric error parameters are obtained by analysing the motion forms of key components. Secondly, the map between geometric error and tolerance is developed using Fourier function. Subsequently, the volumetric error prediction model (VEPM) is established based on key component tolerance. The model was applied to guide the development of machine tools. Finally, model validation experiments are carried out with two configurations of machine tools. The results show that, for the horizontal grinder, the predicted values for ±45° diagonal errors are 0–2.7 μm and 0–4.5 μm, which are consistent with the measured average values of 0.03–2.33 μm and −0.10–5.46 μm, respectively. Moreover, the predicted and measured values for +45° diagonal error of the vertical grinder are −15.0–0 μm and −15.07–0 μm, respectively. The experimental results illustrate the VEPM is effective and universal. The model has the potential to be applied to the design and development of machine tools.
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基于关键部件公差的机床体积误差建模和预测
精确的体积误差模型是精度设计的基础。本文提出了一种考虑公差的通用体积误差预测模型。首先,通过分析关键部件的运动形式获得几何误差参数。其次,利用傅立叶函数建立几何误差与公差之间的映射关系。随后,根据关键部件公差建立体积误差预测模型(VEPM)。该模型用于指导机床的开发。最后,用两种配置的机床进行了模型验证实验。结果表明,对于卧式磨床,±45° 对角线误差的预测值分别为 0-2.7 μm 和 0-4.5 μm,与测量平均值 0.03-2.33 μm 和 -0.10-5.46 μm 相符。此外,垂直磨床 +45° 对角线误差的预测值和测量值分别为 -15.0-0 μm 和 -15.07-0 μm。实验结果表明,VEPM 是有效和通用的。该模型有望应用于机床的设计和开发。
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来源期刊
alexandria engineering journal
alexandria engineering journal Engineering-General Engineering
CiteScore
11.20
自引率
4.40%
发文量
1015
审稿时长
43 days
期刊介绍: Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering
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