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Journal Articles CIRP Annals - Manufacturing Technology Year : 2014

Design optimization using Statistical Confidence Boundaries of response surfaces: Application to robust design of a biomedical implant

Abstract

This paper deals with the use of Statistical Confidence Boundaries (SCB) of response surfaces in robust design optimization. An empirical model is therefore selected to describe a real design constraint function. This constraint is thus approximated by a second order polynomial expansion which is fitted to numerical simulations that use a Finite Element Method (FEM). A technique is also proposed to analyze the effects of the uncertainties of the inputs of the simulations. This approach is employed to optimize the design of a biomedical wrist implant. A real optimized implant is then manufactured and tested to validate the numerical model.
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Dates and versions

hal-01303708 , version 1 (19-01-2017)

Identifiers

  • HAL Id : hal-01303708 , version 1

Cite

Laetitia Rossi, Jean-Marc Linares, Julien Chaves-Jacob, Jean Mailhé, Jean-Michel Sprauel. Design optimization using Statistical Confidence Boundaries of response surfaces: Application to robust design of a biomedical implant. CIRP Annals - Manufacturing Technology, 2014, 63 (1), pp.141--144. ⟨hal-01303708⟩
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