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dc.contributor.authorMurua Etxeberria, Maialen
dc.contributor.authorSuárez González, Alfredo
dc.contributor.authorGalar Pascual, Diego Jesús
dc.contributor.authorSantana Hermida, Roberto ORCID
dc.date.accessioned2020-06-26T12:16:47Z
dc.date.available2020-06-26T12:16:47Z
dc.date.issued2020
dc.identifier.citationIEEE Access 8 : 91574-91585 (2020)es_ES
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10810/44663
dc.description.abstractThe tool-path problem has been extensively studied in manufacturing technologies, as it has a considerable impact on production time. Additive manufacturing is one of these technologies; it takes time to fabricate parts, so the selection of optimal tool-paths is critical. This research analyzes the tool-path problem in the direct energy deposition technology; it introduces the main processes, and analyzes the characteristics of tool-path problem. It explains the approaches applied in the literature to solve the problem; as these are mainly geometric approximations, they are far from optimal. Based on this analysis, this paper introduces a mathematical framework for direct energy deposition and a novel problem called sequence strategy generation. Finally, it solves the problem using a benchmark for several different parts. The results reveal that the approach can be applied to parts with different characteristics, and the solution to the sequence strategy problem can be used to generate tool-paths.es_ES
dc.description.sponsorshipThis work was supported in part by the Project HARITIVE under Grant HAZITEK 2017 and in part by the Project ADDISEND under Grant ELKARTEK 2018 through Basque Government, and in part by the European Union Horizon 2020 Research and Innovation Programme under Grant 822064. The work of Roberto Santana was supported in part by IT-1244-19, in part by the ELKARTEK Programmes through Basque Government, and in part by the Spanish Ministry of Economy, Industry and Competitiveness under Grant TIN2016-78365-R.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/822064es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/TIN2016-78365-Res_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectthree-dimensional printinges_ES
dc.subjectoptimizationes_ES
dc.subjecttoolses_ES
dc.subjectprocess planninges_ES
dc.subjectwireses_ES
dc.subjectfrequency division multiplexinges_ES
dc.subjectadditive manufacturinges_ES
dc.subjectdirect energy depositiones_ES
dc.subjectmulti-objective optimizationes_ES
dc.subjecttool-path generationes_ES
dc.subjectof-the-artes_ES
dc.subjectevolutionary algorithmses_ES
dc.subjectplanning methodologyes_ES
dc.subjectgenetic algorithmes_ES
dc.subjectoptimizationes_ES
dc.subjectdesignes_ES
dc.subjectwirees_ES
dc.titleTool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9093820/authors#authorses_ES
dc.identifier.doi10.1109/ACCESS.2020.2994748
dc.contributor.funderEuropean Commission
dc.departamentoesCiencia de la computación e inteligencia artificiales_ES
dc.departamentoeuKonputazio zientziak eta adimen artifizialaes_ES


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This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/