Improving additive manufacturing performance by build orientation optimization

Bibliographic Details
Main Author: Matos, Marina A.
Publication Date: 2020
Other Authors: Rocha, Ana Maria A. C., Pereira, Ana I.
Format: Article
Language: eng
Source: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Download full: http://hdl.handle.net/1822/66431
Summary: Additive manufacturing (AM) is an emerging type of production technology to create three-dimensional objects layer-by-layer directly from a 3D CAD model. AM is being extensively used in several areas by engineers and designers. Build orientation is a critical issue in AM since it is associated with the part accuracy, the number of supports required and the processing time to produce the object. This paper presents an optimization approach to solve the part build orientation problem taking into account some characteristics or measures that can affect the accuracy of the part, namely the volumetric error, the support area, the staircase effect, the build time, the surface roughness and the surface quality. A global optimization method, the Electromagnetism-like algorithm, is used to solve the part build orientation problem.
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spelling Improving additive manufacturing performance by build orientation optimizationAdditive manufacturing3D printingGlobal optimizationBuild orientationScience & TechnologyAdditive manufacturing (AM) is an emerging type of production technology to create three-dimensional objects layer-by-layer directly from a 3D CAD model. AM is being extensively used in several areas by engineers and designers. Build orientation is a critical issue in AM since it is associated with the part accuracy, the number of supports required and the processing time to produce the object. This paper presents an optimization approach to solve the part build orientation problem taking into account some characteristics or measures that can affect the accuracy of the part, namely the volumetric error, the support area, the staircase effect, the build time, the surface roughness and the surface quality. A global optimization method, the Electromagnetism-like algorithm, is used to solve the part build orientation problem.The authors are grateful to the anonymous referees for their fruitfulcomments and suggestions. This work has been supported and developed under the FIBR3Dproject - Hybrid processes based on additive manufacturing of composites with long or shortfibers reinforced thermoplastic matrix (POCI-01-0145-FEDER-016414), supported by theLisbon Regional Operational Programme 2020, under the PORTUGAL 2020 PartnershipAgreement, through the European Regional Development Fund (ERDF). This work hasbeen also supported by national funds through FCT - Funda ̧c ̃ao para a Ciˆencia e Tecnologiawithin the Project Scope: UID/CEC/00319/2019SpringerUniversidade do MinhoMatos, Marina A.Rocha, Ana Maria A. C.Pereira, Ana I.20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/66431eng0268-376810.1007/s00170-020-04942-6info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:17:14Zoai:repositorium.sdum.uminho.pt:1822/66431Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:09:49.618285Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Improving additive manufacturing performance by build orientation optimization
title Improving additive manufacturing performance by build orientation optimization
spellingShingle Improving additive manufacturing performance by build orientation optimization
Matos, Marina A.
Additive manufacturing
3D printing
Global optimization
Build orientation
Science & Technology
title_short Improving additive manufacturing performance by build orientation optimization
title_full Improving additive manufacturing performance by build orientation optimization
title_fullStr Improving additive manufacturing performance by build orientation optimization
title_full_unstemmed Improving additive manufacturing performance by build orientation optimization
title_sort Improving additive manufacturing performance by build orientation optimization
author Matos, Marina A.
author_facet Matos, Marina A.
Rocha, Ana Maria A. C.
Pereira, Ana I.
author_role author
author2 Rocha, Ana Maria A. C.
Pereira, Ana I.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Matos, Marina A.
Rocha, Ana Maria A. C.
Pereira, Ana I.
dc.subject.por.fl_str_mv Additive manufacturing
3D printing
Global optimization
Build orientation
Science & Technology
topic Additive manufacturing
3D printing
Global optimization
Build orientation
Science & Technology
description Additive manufacturing (AM) is an emerging type of production technology to create three-dimensional objects layer-by-layer directly from a 3D CAD model. AM is being extensively used in several areas by engineers and designers. Build orientation is a critical issue in AM since it is associated with the part accuracy, the number of supports required and the processing time to produce the object. This paper presents an optimization approach to solve the part build orientation problem taking into account some characteristics or measures that can affect the accuracy of the part, namely the volumetric error, the support area, the staircase effect, the build time, the surface roughness and the surface quality. A global optimization method, the Electromagnetism-like algorithm, is used to solve the part build orientation problem.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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url http://hdl.handle.net/1822/66431
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0268-3768
10.1007/s00170-020-04942-6
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