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dc.contributor.authorHernández Frías, Alfonso ORCID
dc.contributor.authorMuñoyerro Barriocanal, Aitor
dc.contributor.authorUrízar Arana, Mónica ORCID
dc.contributor.authorAmezua San Martín, Enrique ORCID
dc.date.accessioned2021-07-15T10:10:16Z
dc.date.available2021-07-15T10:10:16Z
dc.date.issued2021-07-05
dc.identifier.citationMathematics 9(13) : (2021) // Article ID 1581es_ES
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10810/52464
dc.description.abstractIn this paper, an optimization procedure for path generation synthesis of the slider-crank mechanism will be presented. The proposed approach is based on a hybrid strategy, mixing local and global optimization techniques. Regarding the local optimization scheme, based on the null gradient condition, a novel methodology to solve the resulting non-linear equations is developed. The solving procedure consists of decoupling two subsystems of equations which can be solved separately and following an iterative process. In relation to the global technique, a multi-start method based on a genetic algorithm is implemented. The fitness function incorporated in the genetic algorithm will take as arguments the set of dimensional parameters of the slider-crank mechanism. Several illustrative examples will prove the validity of the proposed optimization methodology, in some cases achieving an even better result compared to mechanisms with a higher number of dimensional parameters, such as the four-bar mechanism or the Watt’s mechanism.es_ES
dc.description.sponsorshipThe authors wish to acknowledge financial support received from the Spanish government through the Ministerio de Economía y Competitividad (Project DPI2015−67626-P (MINECO/FEDER, UE)), the support for the research group through Project Ref. IT949−16, provided by the Departamento de Educación, Política Lingüística y Cultura from the regional Basque Government, and the Program BIKAINTEK 2020 (Ref. 012-B2/2020) provided by the Departamento de Desarrollo Económico, Sostenibilidad y Medio Ambiente from the regional Basque Government.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/DPI2015−67626-Pes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectpath generationes_ES
dc.subjectdimensional synthesises_ES
dc.subjecthybrid optimizationes_ES
dc.subjectslider-crank mechanismes_ES
dc.titleHybrid Optimization Based Mathematical Procedure for Dimensional Synthesis of Slider-Crank Linkagees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-07-08T14:22:03Z
dc.rights.holder© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/9/13/1581es_ES
dc.identifier.doi10.3390/math9131581
dc.departamentoesIngeniería mecánica
dc.departamentoeuIngeniaritza mekanikoa


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).