Design optimization using Statistical Confidence Boundaries of response surfaces: Application to robust design of a biomedical implant
| Autor: | Laetitia Rossi, Julien Chaves-Jacob, Jean Mailhé, Jean-Michel Sprauel, Jean-Marc Linares |
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| Přispěvatelé: | Mailhé, Jean, Aix Marseille Université (AMU), Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
[PHYS.MECA.SOLID] Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph]
Engineering Robust design optimization business.industry Mechanical Engineering [PHYS.MECA.BIOM] Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph] Function (mathematics) Structural engineering Biomedical implant Industrial and Manufacturing Engineering Finite element method Statistical Confidence Constraint (information theory) Robust design [PHYS.MECA.SOLID]Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph] [PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph] business Polynomial expansion Algorithm |
| Zdroj: | CIRP Annals-Manufacturing Technology CIRP Annals-Manufacturing Technology, Elsevier, 2014, 63 (1), pp.141--144 CIRP Annals-Manufacturing Technology, 2014, 63 (1), pp.141--144 |
| ISSN: | 0007-8506 |
| Popis: | International audience; This paper deals with the use of Statistical Confidence Boundaries (SCB) of response surfaces in robustdesign optimization. An empirical model is therefore selected to describe a real design constraintfunction. This constraint is thus approximated by a second order polynomial expansion which is fitted tonumerical simulations that use a Finite Element Method (FEM). A technique is also proposed to analyzethe effects of the uncertainties of the inputs of the simulations. This approach is employed to optimize thedesign of a biomedical wrist implant. A real optimized implant is then manufactured and tested tovalidate the numerical model. |
| Databáze: | OpenAIRE |
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