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Optimal Design of Transmission Shafts Using a Vortex Search Algorithm

dc.contributor.authorRodriguez-Cabal, M. A.
dc.contributor.authorBetancur-Gómez, J. D.
dc.contributor.authorGrisales-Noreña, L. F.
dc.contributor.authorMontoya, Oscar Danilo
dc.contributor.authorHincapie, Diego
dc.identifier.citationRodriguez-Cabal, M.A., Betancur-Gómez, J.D., Grisales-Noreña, L.F. et al. Optimal Design of Transmission Shafts Using a Vortex Search Algorithm. Arab J Sci Eng (2021).
dc.description.abstractThis paper analyzes the problem of optimally sizing a transmission shaft via the vortex search algorithm (VSA) optimizer. The objective function was to minimize the shaft weight through an adequate selection of the diameters of each section of the device, and the constraints were the physical conditions that should be met to design safe, fatigue-proof shafts. The solution and the mathematical model were validated using Autodesk Inventor. In addition, the performance of the VSA was compared to that of the continuous genetic algorithm . The numerical results show that the programmed model has the physical and methodological characteristics needed to produce a better output than conventional design techniques. Therefore, this model can be a powerful tool to solve nonlinear non-convex optimization problems such as the case investigated
dc.sourceArabian Journal for Science and Engineering (2021)spa
dc.titleOptimal Design of Transmission Shafts Using a Vortex Search Algorithmspa
dcterms.bibliographicCitationOptimal Design of Transmission Shafts Using a Vortex Search Algorithmspa
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dc.subject.keywordsMechanical analysisspa
dc.subject.keywordsMachine elements designspa
dc.subject.keywordsWeight shaft optimizationspa
dc.subject.keywordsVortex search algorithmspa
dc.subject.keywordsContinuous genetic algorithmspa
dc.subject.keywordsNonlinear non-convex optimizationspa
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa

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