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Published in: Journal of Intelligent Manufacturing 1/2018

06-06-2015

Machining accuracy reliability analysis of multi-axis machine tool based on Monte Carlo simulation

Authors: Qiang Cheng, Hongwei Zhao, Yongsheng Zhao, Bingwei Sun, Peihua Gu

Published in: Journal of Intelligent Manufacturing | Issue 1/2018

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Abstract

Although machine tool can meet the specifications while it is new, after a long period of cutting operations, the abrasion of contact surfaces and deformation of structures will degrade the accuracy of machine tool due to the increase of the geometric errors in six freedoms. Therefore, how to maintain its accuracy for quality control of products is of crucial importance to machine tool. In this paper, machining accuracy reliability is defined as the ability to perform its specified machining accuracy under the stated conditions for a given period of time, and a new method to analyze the sensitivity of geometric errors to the machining accuracy reliability is proposed. By applying Multi-body system theory, a comprehensive volumetric model explains how individual geometric errors affect the machining accuracy (the coupling relationship) was established. Based on Monte Carlo mathematic simulation method, the models of the machining accuracy reliability and sensitivity analysis of machine tools were developed. By taking the machining accuracy reliability as a measure of the ability of machine tool and reliability sensitivity as a reference of optimizing the basic parameters of machine tools, an illustrative example of a three-axis machine tool was selected to demonstrate the effectiveness of the proposed method.

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Metadata
Title
Machining accuracy reliability analysis of multi-axis machine tool based on Monte Carlo simulation
Authors
Qiang Cheng
Hongwei Zhao
Yongsheng Zhao
Bingwei Sun
Peihua Gu
Publication date
06-06-2015
Publisher
Springer US
Published in
Journal of Intelligent Manufacturing / Issue 1/2018
Print ISSN: 0956-5515
Electronic ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-015-1101-1

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