dc.contributor.author | Murua Etxeberria, Maialen | |
dc.contributor.author | Suárez González, Alfredo | |
dc.contributor.author | Galar Pascual, Diego Jesús | |
dc.contributor.author | Santana Hermida, Roberto | |
dc.date.accessioned | 2020-06-26T12:16:47Z | |
dc.date.available | 2020-06-26T12:16:47Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | IEEE Access 8 : 91574-91585 (2020) | es_ES |
dc.identifier.issn | 2169-3536 | |
dc.identifier.uri | http://hdl.handle.net/10810/44663 | |
dc.description.abstract | The 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.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/822064 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/TIN2016-78365-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 | three-dimensional printing | es_ES |
dc.subject | optimization | es_ES |
dc.subject | tools | es_ES |
dc.subject | process planning | es_ES |
dc.subject | wires | es_ES |
dc.subject | frequency division multiplexing | es_ES |
dc.subject | additive manufacturing | es_ES |
dc.subject | direct energy deposition | es_ES |
dc.subject | multi-objective optimization | es_ES |
dc.subject | tool-path generation | es_ES |
dc.subject | of-the-art | es_ES |
dc.subject | evolutionary algorithms | es_ES |
dc.subject | planning methodology | es_ES |
dc.subject | genetic algorithm | es_ES |
dc.subject | optimization | es_ES |
dc.subject | design | es_ES |
dc.subject | wire | es_ES |
dc.title | Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | This 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.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9093820/authors#authors | es_ES |
dc.identifier.doi | 10.1109/ACCESS.2020.2994748 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Ciencia de la computación e inteligencia artificial | es_ES |
dc.departamentoeu | Konputazio zientziak eta adimen artifiziala | es_ES |