Tolerance Analysis Approach based on the Classification of Uncertainty (Aleatory/Epistemic)

Uncertainty is ubiquitous in tolerance analysis problem. This paper deals with tolerance analysis formulation, more particularly, with the uncertainty which is necessary to take into account into the foundation of this formulation. It presents:•a brief view of the uncertainty classification: Aleator...

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Bibliographic Details
Published inProcedia CIRP Vol. 10; pp. 287 - 293
Main Authors Dantan, J.Y., Gayton, N., Qureshi, A.J., Lemaire, M., Etienne, A.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2013
Subjects
epistemic uncertainty
tolerance analysis
uncertainty
uncertainty propagation
epistemic uncertainty
tolerance analysis
uncertainty
uncertainty propagation
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Summary:Uncertainty is ubiquitous in tolerance analysis problem. This paper deals with tolerance analysis formulation, more particularly, with the uncertainty which is necessary to take into account into the foundation of this formulation. It presents:•a brief view of the uncertainty classification: Aleatory uncertainty comes from the inherent uncertain nature and phenomena and epistemic uncertainty comes from the lack of knowledge•a formulation of the tolerance analysis problem based on this classification•its development: Aleatory uncertainty is modeled by probability distributions while epistemic uncertainty is modeled by intervals; Monte Carlo simulation is employed for probabilistic analysis while nonlinear optimization is used for interval analysis.
ISSN:2212-8271
2212-8271
DOI:10.1016/j.procir.2013.08.044