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Statistical tolerance analysis of a mechanism with gaps based on system reliability methods

Article dans une revue avec comité de lecture
Author
BEAUCAIRE, Paul
38952 Laboratoire de Mécanique et Ingénieries [LAMI]
GAYTON, Nicolas
38952 Laboratoire de Mécanique et Ingénieries [LAMI]
DUC, Emmanuel
38952 Laboratoire de Mécanique et Ingénieries [LAMI]
ccDANTAN, Jean-Yves
107452 Laboratoire de Conception Fabrication Commande [LCFC]

URI
http://hdl.handle.net/10985/9297
DOI
10.1016/j.procir.2013.08.005
Date
2013
Journal
Procedia CIRP

Abstract

One of the aim of statistical tolerance analysis is to evaluate a predicted quality level in the design stage. A method consists in computing the defect probability D P expressed in parts per million (ppm). It represents the probability that a functional requirement will not be satisfied in mass production. This paper focuses on the statistical tolerance analysis of over-constrained mechanism with gaps. In this case, the values of the functional characteristics depend on the gap situations, and are not explicitly formulated as a function of part deviations. To compute D P , two different methodologies will be presented and confronted. The first one is based on an optimization algorithm and Monte Carlo simulations. The second methodology uses system reliability methods. The whole approach is illustrated on a basic academic problem inspired by industrial interests.

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