Using nodal coordinates as variables for the dimensional synthesis of mechanisms
dc.contributor.author | García Marina, Vanesa | |
dc.contributor.author | Fernández de Bustos, Igor | |
dc.contributor.author | Urkullu Martín, Gorka | |
dc.contributor.author | Abasolo Bilbao, Mikel | |
dc.date.accessioned | 2018-12-11T11:24:34Z | |
dc.date.available | 2018-12-11T11:24:34Z | |
dc.date.issued | 2018-06 | |
dc.identifier.citation | Meccanica 53(8) : 1981-1996 (2018) | es_ES |
dc.identifier.issn | 0025-6455 | |
dc.identifier.issn | 1572-9648 | |
dc.identifier.uri | http://hdl.handle.net/10810/30248 | |
dc.description.abstract | The method of the lower deformation energy has been successfully used for the synthesis of mechanisms for quite a while. It has shown to be a versatile, yet powerful method for assisting in the design of mechanisms. Until now, most of the implementations of this method used the dimensions of the mechanism as the synthesis variables, which has some advantages and some drawbacks. For example, the assembly configuration is not taken into account in the optimization process, and this means that the same initial configuration is used when computing the deformed positions in each synthesis point. This translates into a reduction of the total search space. A possible solution to this problem is the use of a set of initial coordinates as variables for the synthesis, which has been successfully applied to other methods. This also has some additional advantages, such as the fact that any generated mechanism can be assembled. Another advantage is that the fixed joint locations are also included in the optimization at no additional cost. But the change from dimensions to initial coordinates means a reformulation of the optimization problem when using derivatives if one wants them to be analytically derived. This paper tackles this reformulation, along with a proper comparison of the use of both alternatives using sequential quadratic programming methods. In order to do so, some examples are developed and studied. | es_ES |
dc.description.sponsorship | The authors wish to thank the Spanish Ministry of Economy and Competitiveness for its support through Grant DPI2013-46329-P and DPI2016-80372-R. Additionally the authors wish to thank the Education Department of the Basque Government for ist support through grant IT947-16. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/DPI2013-46329-P | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/DPI2016-80372-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | nodal coordinates | es_ES |
dc.subject | dimensional synthesis | es_ES |
dc.subject | sqp | es_ES |
dc.subject | deformed energy error function | es_ES |
dc.subject | minimum distance position problem | es_ES |
dc.subject | genetic algorithms | es_ES |
dc.subject | planar mechanisms | es_ES |
dc.subject | optimum synthesis | es_ES |
dc.subject | optimization | es_ES |
dc.title | Using nodal coordinates as variables for the dimensional synthesis of mechanisms | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://link.springer.com/article/10.1007%2Fs11012-017-0799-6 | es_ES |
dc.identifier.doi | 10.1007/s11012-017-0799-6 | |
dc.departamentoes | Ingeniería mecánica | es_ES |
dc.departamentoeu | Ingeniaritza mekanikoa | es_ES |
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