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Quantitative Modeling & Application Study of Failure Rate Bathtub Curve of Machine Tool

Author: LiaoXiaoBo
Tutor: ZhangGenBao
School: Chongqing University
Course: Mechanical Manufacturing and Automation
Keywords: Machining center Quantitative modeling FMEA analysis Model application
CLC: TG502.7
Type: Master's thesis
Year: 2010
Downloads: 163
Quote: 9
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Abstract


Reliability is to describe the products under the conditions and within the specified time period, the ability to complete the required function. Reliability of the basic properties of the product, is an important indicator to measure the quality of the product, as the machine tool industry competition intensifies, reliability has gradually become the focus of market competition. Compared with the imported machine tools, domestic machine tool main gap is reflected in the reliability, poor reliability has become the weak link of the occupation of domestic machine tool market is particularly true for high-end machining centers. Therefore, improving the reliability of the domestic processing center, has important practical significance for enhancing domestic processing center market competitiveness, improve the international market share. In this paper, the major national special projects, made a series of horizontal machining center for the study, the failure rate bathtub curve quantitative research, the establishment of a mathematical model of the bathtub curve, and the model is applied. The failure data processing center in the past limited to the use of a single distribution model to analyze, from a life cycle perspective, however, such a complex product for machining centers, the use of a single distribution model for its reliability modeling does not appropriate in different fault periods have different failure mechanisms; Therefore, this article first with a single Weibull distribution model involving two Weibull segmentation model were established early failure of the series machining center machine, accidental failure of and the interface between the life distribution; fitting and turning point on the model that the early failure of the occasional failure of the demarcation point between. Finally, we use the goodness of fit test preferred model and ultimately determine the optimal model. FMEA analysis of failure data collected on the type of fault during the period on the basis of the above studies, respectively, to determine the location of the major fault of the fault during the period, and the failure mode and the main reason for these failures may occur and their respective frequency ; and on this basis propose targeted reliability improvement and safeguards. Finally, the series machining center warranty period as well as the failure of preventive maintenance strategy, involving two Weibull segmentation model, and the failure rate is established by the bathtub curve fitting the basis of the distribution of the failure rate law as the theoretical model used to guide the series machining center warranty period and preventive maintenance cycle formulation, introduced in terms of total economic benefits the maximum law and the economic benefits bisection method the best warranty on the period of the series machining center research as well as by the availability of maximum and minimum total cost of the principle of the series machining center failure of preventive maintenance strategy.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal cutting and machine tools > General issues > Machine tool design, manufacture and maintenance > Machine maintenance
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