考虑加工误差度的数控机床精度可靠性分析

IF 1.7 4区工程技术 Q3 ENGINEERING, INDUSTRIAL

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2023-02-17 DOI:10.1177/1748006x231153704

Yangfan Li, Yingjie Zhang, Ning An

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引用次数: 0

摘要

为评价机床的精度可靠性，提出了一种考虑加工误差超出公差的精度可靠性评价方法，并给出了准确的数学描述，实现了不同加工负荷下加工精度的定量评价。在此基础上，分析了精度保持的基本内涵和数学模型，研究了不同加工载荷对精度保持的影响。最后，通过实验检测了机床在不同载荷下加工误差的变化规律，完成了机床精度可靠性和保持性的定量评价，验证了所提方法的有效性。

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Accuracy reliability analysis of CNC machine tools considering manufacturing errors degrees

To evaluate the accuracy reliability of machine tools, an evaluation method of accuracy reliability considering the machining error out of tolerance is proposed, and an accurate mathematical description is given to realize the quantitative evaluation of machining accuracy under different machining loads. On this basis, the basic connotation and mathematical model of accuracy retention are analyzed, and the influence of different machining loads on the accuracy retention is studied. Finally, experiments are carried out to detect the variations of machining errors of machine tools under different loads and the quantitative evaluations of accuracy reliability and retention of machine tools are completed, which verify the validity of the proposed methods.

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来源期刊

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability ENGINEERING, MULTIDISCIPLINARY-ENGINEERING, INDUSTRIAL

CiteScore

4.50

自引率

19.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Risk and Reliability is for researchers and practitioners who are involved in the field of risk analysis and reliability engineering. The remit of the Journal covers concepts, theories, principles, approaches, methods and models for the proper understanding, assessment, characterisation and management of the risk and reliability of engineering systems. The journal welcomes papers which are based on mathematical and probabilistic analysis, simulation and/or optimisation, as well as works highlighting conceptual and managerial issues. Papers that provide perspectives on current practices and methods, and how to improve these, are also welcome