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A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools

Ziling Zhang, Ligang Cai, Qiang Cheng (), Zhifeng Liu and Peihua Gu
Additional contact information
Ziling Zhang: Beijing University of Technology
Ligang Cai: Beijing University of Technology
Qiang Cheng: Beijing University of Technology
Zhifeng Liu: Beijing University of Technology
Peihua Gu: Shantou University

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 2, No 3, 495-519

Abstract: Abstract Machining accuracy reliability is considered to be one of the most important indexes in the process of performance evaluation and optimization design of the machine tools. Geometric errors, thermal errors and tool wear are the main factors to affect the machining accuracy and so affect the machining accuracy reliability of machine tools. This paper proposed a geometric error budget method that simultaneously considers geometric errors, thermal errors and tool wear to improve the machining accuracy reliability of machine tools. Homogeneous transformation matrices, neural fuzzy control theory and a tool wear predictive approach were employed to develop a comprehensive error model, which shows the influence of the geometric, thermal errors and tool wear to the machining accuracy of a machine tool. Based on Rackwite–Fiessler and Advanced First Order and Second Moment, a reliability model and a sensitivity model were put forward, which can deal with the errors of a machine tool drawn from any distribution. Then, a geometric error budget method of multi-axis NC machine tool was developed and formed into a mathematical model. In such method, the minimum cost of machine tool was the optimization objective, the reliability of the machining accuracy was the constraint, and the sensitivity was to identify the geometric errors to be optimized. An example conducted on a five-axis NC machine tool was used to explain and validate the proposed method.

Keywords: Thermal errors; Tool wear; A comprehensive error model; Machining accuracy reliability; Geometric error budget (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10845-016-1260-8

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