摘要

With the ever increasing demand of higher machining accuracies, the machining accuracy reliability has evolved into an indicator to evaluate the performance of a machine tool. Consequentially, methods for improving the machining accuracy reliability have become the focus of attention for both manufacturers and users. Generally, the intercoupling geometric errors are the main cause which may lead to a reduction of the machining accuracy of machine tools. In this paper, the machining accuracy reliability is defined as the ability of a machine tool to perform at its specked machining accuracy under the stated conditions for a given period of time, and a new approach for analyzing the machining accuracy reliability of machine tools based on fast Markov chain simulations is proposed. Using this method, seven different failure modes could be determined for a machine tool. An analysis of the machining accuracy reliability sensitivity was performed based on solving the integral of the failure probability of the machine tool, and the key geometric errors which most strongly affect the machining accuracy reliability were identified. Finally, in this study, a 4-axis machine tool was selected as an example to experimentally validate the effectiveness of the proposed method.