Optimal design of rotor bars of a written-pole motor by using response surface method for improving the pole-writing performance

Park, Seong-Cheol; Choi, Myoung-Hyun; Yuk, Kyeong-Jin; Kim, Byung-Taek

doi:10.3233/jae-2012-1567

Cited by 1 publication

(1 citation statement)

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“…Our work tackles the sizing optimization of piezoelectric smart structures for dynamic applications and the method that we propose is based on the response surface methodology (Park et al [22], Choi et al [23]) and on the analysis of a meta-model consisting in an analytical model derived from reduced dynamic models obtained from Finite Element results. In our study, the sizing aims at getting required displacements with a minimal volume of piezoelectric patches.…”

Section: Introductionmentioning

confidence: 99%

Sizing optimization of piezoelectric smart structures with meta-modeling techniques for dynamic applications

Pommier-Budinger

Budinger

2014

JAE

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This article shows an efficient method with a high industrial applicability to design piezoelectric smart structures for dynamic applications. This method allows sizing structures with requirements of dynamic displacements. The first step of this method consists in extracting dynamic reduced models from Finite Element simulations which will enable us to obtain a model for any structure, whatever its complexity, as opposed to analytical modeling methods. These models are computed for a set of design parameters. Then a meta-model, which is a simplified descriptive model of other models, is computed as a surface response model that expresses the design objectives and constraints as a function of the design variables. The combination of the results stemming from the meta-model allows working out the optimal values of the design parameters. The main advantage of the proposed method is to enable the quick design exploration of structures. As an example, the method is applied to a flexible structure whose dynamic displacements need to be controlled in bending and twisting. The theoretical results are validated in the end by experiments.

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Section: Introductionmentioning

confidence: 99%