Wing profile evolution driven by computational fluid dynamics

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dc.citation.journalTitleUis Ingenieríaseng
dc.contributor.authorRendon, CC
dc.contributor.authorHernandez, JL
dc.contributor.authorRuiz-Salguero, O
dc.contributor.authorAlvarez, CA
dc.contributor.authorToro, M
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Sistemasspa
dc.contributor.researchgroupI+D+I en Tecnologías de la Información y las Comunicacionesspa
dc.creatorRendon, CC
dc.creatorHernandez, JL
dc.creatorRuiz-Salguero, O
dc.creatorAlvarez, CA
dc.creatorToro, M
dc.date.accessioned2021-04-12T20:55:47Z
dc.date.available2021-04-12T20:55:47Z
dc.date.issued2019-04-01
dc.description.abstractIn the domain of fluid dynamics, the problem of shape optimization is relevant because is essential to increase lift and reduce drag forces on a body immersed in a fluid. The current state of the art in this aspect consists of two variants: (1) evolution from an initial guess, using optimization to achieve a very specific effect, (2) creation and genetic breeding of random individuals. These approaches achieve optimal shapes and evidence of response under parameter variation. Their disadvantages are the need of an approximated solution and/or the trial - and - error generation of individuals. In response to this situation, this manuscript presents a method which uses Fluid Mechanics indicators (e.g. streamline curvature, pressure difference, zero velocity neighborhoods) to directly drive the evolution of the individual (in this case a wing profile). This pragmatic strategy mimics what an artisan (knowledgeable in a specific technical domain) effects to improve the shape. Our approach is not general, and it is not fully automated. However, it shows to efficiently reach wing profiles with the desired performance. Our approach shows the advantage of application domain - specific rules to drive the optimization, in contrast with generic administration of the evolution.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8639
dc.identifier.doi10.18273/revuin.v18n2-2019013
dc.identifier.issn16574583
dc.identifier.otherWOS;000462085200013
dc.identifier.urihttp://hdl.handle.net/10784/28621
dc.language.isospaeng
dc.publisherUNIV INDUSTRIAL SANTANDER
dc.relationDOI;10.18273/revuin.v18n2-2019013
dc.relationWOS;000462085200013
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1657-4583
dc.sourceUis Ingenierías
dc.subjectfluid mechanicseng
dc.subjectshape evolutioneng
dc.subjectwing profileeng
dc.titleWing profile evolution driven by computational fluid dynamicseng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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