Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1679339 | CIRP Annals - Manufacturing Technology | 2014 | 4 Pages |
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.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Laetitia Rossi, Jean-Marc Linares, Julien Chaves-Jacob, Jean Mailhé, Jean-Michel Sprauel,