dc.contributor.author | Fernández de Bustos, Igor | |
dc.contributor.author | Urkullu Martín, Gorka | |
dc.contributor.author | García Marina, Vanesa | |
dc.contributor.author | Ansola Loyola, Rubén ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.date.accessioned | 2019-04-16T13:45:22Z | |
dc.date.available | 2019-04-16T13:45:22Z | |
dc.date.issued | 2019-08 | |
dc.identifier.citation | Mechanism and Machine Theory 138 : 149-168 (2019) | es_ES |
dc.identifier.issn | 0094-114X | |
dc.identifier.uri | http://hdl.handle.net/10810/32515 | |
dc.description.abstract | The paper examines the application of a general minimum distance error function to the
dimensional kinematic synthesis of bidimensional mechanisms. The minimum distance ap-
proach makes it possible to solve the problem maintaining the same generality as that of
the minimum deformation energy method while solving the problems that occasionally
appear in the former method involving low stiffness mechanisms. It is a general method
that can deal both with unprescribed and prescribed timing problems, and is applicable
for path generation problems, function generation, solid guidance, and any combination of
the aforementioned requirements as introduced in the usual precision point scheme. The
method exhibits good convergence and computational efficiency. The minimum distance
error function is solved with a sequential quadratic programming (SQP) approach. In the
study, the synthesis problem is also optimized by using SQP, and the function can be easily
adapted to other methods such as genetic algorithms.
In the study, the minimum distance approach is initially presented. Subsequently, an
efficient SQP method is developed by using analytic derivatives for solving. The next point
addresses the application of the concept for the synthesis of mechanisms by using an SQP
approach with approximate derivatives. This delivers a situation where the optimization
is performed on an error function that itself consists of an inner optimization function. A
few examples are presented and are also compared with the minimum deformation energy
method. Finally, a few conclusions and future studies are discussed | es_ES |
dc.description.sponsorship | The authors acknowledge direct or indirect economic support provided by the Investigation Groups recognized by the
Basque Government under section IT 947-16 , and the Spanish Ministry of Economy and Competitiveness through the project
DPI2016-80372-R (AEI/FEDER. UE) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/DPI2016-80372-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | mechanism synthesis | es_ES |
dc.subject | SQP | es_ES |
dc.subject | optimization | es_ES |
dc.title | Optimization of Planar Mechanisms by using a Minimum Distance Function | es_ES |
dc.type | info:eu-repo/semantics/preprint | es_ES |
dc.rights.holder | © 2019 Elsevier Ltd. All rights reserved. | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0094114X1831872X | es_ES |
dc.identifier.doi | 10.1016/j.mechmachtheory.2019.04.002 | |
dc.departamentoes | Ingeniería mecánica | es_ES |
dc.departamentoeu | Ingeniaritza mekanikoa | es_ES |