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Book ChapterDOI

Failure Modes and Effects Analysis of CNC Turning Center

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TLDR
CNCS, HS, MT, EES, ChS, TS, XZAS and CS are the critical sub-systems of the CNC turning center from reliability and maintainability perspective.
Abstract
CNC turning center is one of the significant CNC-assisted machine tools, widely used for different machining operations. The quality, reliability and maintainability of such CNC turning centers are critical for both the manufacturers and users. In this context, it is decided to carry out failure modes and effects analysis (FMEA) of a typical CNC turning center manufactured and used in India. A FMEA framework is proposed for the analysis of the CNC turning center. The main objective of analysis was to identify critical failure modes and their effects on the components and sub-systems. This study uses the field failure data from more than 50 CNC turning centers and opinions from more than five industrial experts. CNCS, EES, XZAS, ChS, MT, HS, CS and SS are found to be the critical sub-systems of the CNC turning center.CNCS, HS, MT, EES, ChS, TS, XZAS and CS are the critical sub-systems from reliability and maintainability perspective.

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Journal ArticleDOI

Fuzzy assessment of FMEA for engine systems

TL;DR: A fuzzy-logic-based method for FMEA is presented and a platform for a fuzzy expert assessment is integrated with the proposed system to overcome the potential difficulty in sharing information among experts from various disciplines.
Journal ArticleDOI

Failure Modes and Effects Analysis (FMEA) for wind turbines.

TL;DR: The failure modes and effects analysis (FMEA) method has been used to study the reliability of many different power generation systems as mentioned in this paper, and it has been applied to a wind turbine (WT) system using a proprietary software reliability analysis tool.
Journal ArticleDOI

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TL;DR: In this paper, failure mode and effects analysis (FMEA) is used for both product design and process control in the production of an airbag inflator and the results of reliability predictions are fed back to eliminate the design weakness.
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TL;DR: In this paper, a reliability and maintainability study of computer control (CNC) machine tools is described, where the lognormal and Weibull distribution are used to describe time between failures and the repair times.
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CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks

TL;DR: A contribution on the assessment of the health condition of a computer numerical control (CNC) tool machine and the estimation of its remaining useful life (RUL).
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