Publicação
On optimizing the build orientation problem using genetic algorithm
| Resumo: | Build orientation is a critical issue in Additive manufacturing (AM), where three-dimensional objects are created layer-by-layer directly from a 3D CAD model, since it is associated with the object accuracy, the number of supports required and the processing time to produce the object. Finding the best build orientation in the AM will reduce, significantly, the building costs and will improve the object accuracy. This work presents the solutions obtained by the Genetic Algorithm (GA) in solving the part build orientation optimization problem, considering the staircase effect, support area characteristics and the building time of four models. Preliminary experiments show that GA gives competitive results in solving the build orientation problem when compared with other metaheuristics. |
|---|---|
| Autores principais: | Matos, Marina A. |
| Outros Autores: | Rocha, Ana Maria A.C.; Pereira, Ana I. |
| Assunto: | Evolutionary computation Optimization |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172928803569664 |
|---|---|
| author | Matos, Marina A. |
| author2 | Rocha, Ana Maria A.C. Pereira, Ana I. |
| author2_role | author author |
| author_facet | Matos, Marina A. Rocha, Ana Maria A.C. Pereira, Ana I. |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Matos, Marina A.\"},{\"Person.name\":\"Rocha, Ana Maria A.C.\"},{\"Person.name\":\"Pereira, Ana I.\",\"Person.identifier.orcid\":\"0000-0003-3803-2043\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Matos, Marina A. Rocha, Ana Maria A.C. Pereira, Ana I. |
| datacite.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-04-08T10:58:12Z |
| datacite.date.embargoed.fl_str_mv | 2020-04-08T10:58:12Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Evolutionary computation Optimization |
| datacite.titles.title.fl_str_mv | On optimizing the build orientation problem using genetic algorithm |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Matos, Marina A. Rocha, Ana Maria A.C. Pereira, Ana I. |
| dc.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-04-08T10:58:12Z |
| dc.date.embargoed.fl_str_mv | 2020-04-08T10:58:12Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/21611 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Evolutionary computation Optimization |
| dc.title.fl_str_mv | On optimizing the build orientation problem using genetic algorithm |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | Build orientation is a critical issue in Additive manufacturing (AM), where three-dimensional objects are created layer-by-layer directly from a 3D CAD model, since it is associated with the object accuracy, the number of supports required and the processing time to produce the object. Finding the best build orientation in the AM will reduce, significantly, the building costs and will improve the object accuracy. This work presents the solutions obtained by the Genetic Algorithm (GA) in solving the part build orientation optimization problem, considering the staircase effect, support area characteristics and the building time of four models. Preliminary experiments show that GA gives competitive results in solving the build orientation problem when compared with other metaheuristics. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/249c9dec-4d59-48b4-b889-a35c68e91b16/download |
| id | ipb_c3a9f4a8428c497145a42835d76e7f9f |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/21611 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/21611 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Matos, Marina A. Rocha, Ana Maria A.C. Pereira, Ana I. Pereira, Ana I. https://www.ciencia-id.pt/0716-B7C2-93E4 0716-B7C2-93E4 http://orcid.org/0000-0003-3803-2043 0000-0003-3803-2043 |
| publishDate | 2019 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engpt_PTBuild orientation is a critical issue in Additive manufacturing (AM), where three-dimensional objects are created layer-by-layer directly from a 3D CAD model, since it is associated with the object accuracy, the number of supports required and the processing time to produce the object. Finding the best build orientation in the AM will reduce, significantly, the building costs and will improve the object accuracy. This work presents the solutions obtained by the Genetic Algorithm (GA) in solving the part build orientation optimization problem, considering the staircase effect, support area characteristics and the building time of four models. Preliminary experiments show that GA gives competitive results in solving the build orientation problem when compared with other metaheuristics.application/pdfpt_PTOn optimizing the build orientation problem using genetic algorithmMatos, Marina A.Rocha, Ana Maria A.C.PersonalPereira, Ana I.DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846PereiraAna I.Ciência IDhttps://www.ciencia-id.pt0716-B7C2-93E4ORCIDhttp://orcid.org0000-0003-3803-2043Researcher IDhttps://www.researcherid.comF-3168-2010Scopus Author IDhttps://www.scopus.com15071961600HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.1063/1.51142242020-04-08T10:58:12Z20192019-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/21611http://purl.org/coar/access_right/c_abf2open accessEvolutionary computationOptimization740110 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paper2019http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/249c9dec-4d59-48b4-b889-a35c68e91b16/downloadInternational Conference on Numerical Analysis and Applied Mathematics (ICNAAM)2133220006Grécia |
| spellingShingle | On optimizing the build orientation problem using genetic algorithm Matos, Marina A. Evolutionary computation Optimization |
| status | SINGLETON |
| subject.fl_str_mv | Evolutionary computation Optimization |
| title | On optimizing the build orientation problem using genetic algorithm |
| title_full | On optimizing the build orientation problem using genetic algorithm |
| title_fullStr | On optimizing the build orientation problem using genetic algorithm |
| title_full_unstemmed | On optimizing the build orientation problem using genetic algorithm |
| title_short | On optimizing the build orientation problem using genetic algorithm |
| title_sort | On optimizing the build orientation problem using genetic algorithm |
| topic | Evolutionary computation Optimization |
| topic_facet | Evolutionary computation Optimization |
| url | http://hdl.handle.net/10198/21611 |
| visible | 1 |