Abstract

Reliability of the CNC machine tool (abbreviated as machine tool) relates to the product's reliability and has great influence on the manufacturing process. The traditional reliability statistical evaluation method of the machine tool neglects the influence of the mission profile and load profile (M&L), it causes that the evaluation result is not accurate enough to provide accurate references for the reliability-related works under specific M&Ls such as the preventive maintenance, product improvement, etc. To address these defects, this paper proposes an improved reliability statistical evaluation method considering the M&L. Firstly, the machine tool is decomposed by the meta-action decomposition method, and the mission profile of the machine tool is represented by the meta-action chain (MC). Secondly, load profile representation indicators of the machine tool are extracted based on the load composition and cutting force calculation. Then, the mapping model between the M&L and the machine tool's reliability is established using the radial basis function (RBF) neural network. Finally, the improved reliability statistical evaluation method is illustrated and validated by the engineering practical application. Comparing the evaluation results of the two statistical evaluation methods, it shows that the improved reliability statistical evaluation method is more accurate than the traditional reliability statistical evaluation method, under specific M&Ls, so that it can provide more accurate references for the reliability-related works.

Highlights

  • The machine tool is closely related to the whole process of the product manufacturing, its reliability is important to the manufacturing enterprises.From the enterprise investigation, the main production modes of the machine tool users are the multi-variety smallbatch production mode and flow line production mode, shown as TABLE I.Under these two kinds of production modes, the machine tool runs in the specific one or several kinds of mission profile and load profile (M&L)

  • To make the reliability evaluation method more accurate under the specific M&Ls, this paper proposes an improved reliability statistical evaluation method to evaluate the reliability of the machine tool considering the M&L

  • LITERATURE REVIEW We reviewed the current literature oriented on the research of the reliability evaluation from the mechanical system’s reliability evaluation and other reliability evaluation

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Summary

INTRODUCTION

The machine tool is closely related to the whole process of the product manufacturing, its reliability is important to the manufacturing enterprises. The main production modes of the machine tool users are the multi-variety smallbatch production mode and flow line production mode, shown as TABLE I. The accurate reliability evaluation of the machine tool under the specific one or more kinds of M&Ls can provide important references for the reliability-related work (such as the preventive maintenance, product improvement, etc.) of the machine tool under the multi-variety small-batch production mode or the flow line production mode. Z. Mu et al.: Reliability Statistical Evaluation Method of CNC Machine Tools Considering the Mission and Load Profile TABLE 1.

LITERATURE REVIEW
REPRESENTATION OF MISSION PROFILE Definition 1
Findings
RADIAL BASIS FUNCTION NEURAL NETWORK MODEL
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