2013
DOI: 10.1007/s00158-013-0949-y
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Modelling and shape optimization of an actuator

Abstract: The aim of this work is to optimize an actuator design so that the flow profile at its exit section is as close as possible to a target profile. The method is founded on the penalization and level-set methods to solve direct and inverse problems on Cartesian meshes The optimization process is written and applied both for Stokes and Navier-Stokes flows. The results show that the method can be successfully applied to the non linear problem to improve the flow profile of an actuator even if the target cannot be t… Show more

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Cited by 4 publications
(2 citation statements)
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“…Kevlahan & Ghidaglia [2001], among many other examples, have demonstrated the effectiveness and adaptability of this approach. Brinkman-penalisation has also been employed by Chanta-3 of 28 lat et al [2009], coupled with a level-set technique to express the geometry, and applied by Bruneau et al [2013] to optimise the shape of stirrers. An additional appeal of this method lies in its simple derivation and straightforward numerical implementation.…”
Section: Introductionmentioning
confidence: 99%
“…Kevlahan & Ghidaglia [2001], among many other examples, have demonstrated the effectiveness and adaptability of this approach. Brinkman-penalisation has also been employed by Chanta-3 of 28 lat et al [2009], coupled with a level-set technique to express the geometry, and applied by Bruneau et al [2013] to optimise the shape of stirrers. An additional appeal of this method lies in its simple derivation and straightforward numerical implementation.…”
Section: Introductionmentioning
confidence: 99%
“…Supporting studies, including an asymptotic analysis, are summarized in [12], and applications to high Mach-number flows [13] and turbulent flow past cylinders [14], among many other examples, have demonstrated the effectiveness and flexibility of the approach. A penalization approach has also been taken by [15], coupled with a level-set technique to express the geometry, and applied by [16] to optimize the shape of actuators. The appeal of the penalization method lies in its simple derivation and straightforward numerical implementation.…”
Section: Introductionmentioning
confidence: 99%