Multi-objective optimization in the build orientation of a 3D CAD model

Bibliographic Details
Main Author: A. Matos, Marina
Publication Date: 2021
Other Authors: Rocha, Ana Maria A. C., Costa, Lino, Pereira, Ana I.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/76498
Summary: Over the years, rapid prototyping technologies have grown and have been implemented in many 3D model production companies. A variety of different additive manufacturing (AM) techniques are used in rapid prototyping. AM refers to a process by which digital 3D design data is used to build up a component in layers by depositing material. Several high-quality parts are being created in various engineering materials, including metal, ceramics, polymers and their combinations in the form of composites, hybrids, or functionally classified materials. The orientation of 3D models is very important since it can have a great influence on the surface quality characteristics, such as process planning, post-processing, processing time and cost. Thus, the identification of the optimal build orientation for a part is one of the main issues in AM. The quality measures to optimize the build orientation problem may include the minimization of the surface roughness, build time, need of supports, maximize of the part stability in building process or part accuracy, among others. In this paper, a multi-objective approach was applied to a computer-aided design model using MATLAB® multi-objective genetic algorithm, aiming to optimize the support area, the staircase effect and the build time. Preliminary results show the effectiveness of the proposed approach.
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spelling Multi-objective optimization in the build orientation of a 3D CAD model3D PrintingAdditive ManufacturingBuild OrientationMulti-objective OptimizationOver the years, rapid prototyping technologies have grown and have been implemented in many 3D model production companies. A variety of different additive manufacturing (AM) techniques are used in rapid prototyping. AM refers to a process by which digital 3D design data is used to build up a component in layers by depositing material. Several high-quality parts are being created in various engineering materials, including metal, ceramics, polymers and their combinations in the form of composites, hybrids, or functionally classified materials. The orientation of 3D models is very important since it can have a great influence on the surface quality characteristics, such as process planning, post-processing, processing time and cost. Thus, the identification of the optimal build orientation for a part is one of the main issues in AM. The quality measures to optimize the build orientation problem may include the minimization of the surface roughness, build time, need of supports, maximize of the part stability in building process or part accuracy, among others. In this paper, a multi-objective approach was applied to a computer-aided design model using MATLAB® multi-objective genetic algorithm, aiming to optimize the support area, the staircase effect and the build time. Preliminary results show the effectiveness of the proposed approach.This work has been supported and developed under the FIBR3D project - Hybrid processes based on additive manufacturing of composites with long or short fibers rein forced thermoplastic matrix (POCI-01-0145-FEDER-016414), supported by the Lisbon Regional Operational Programme 2020, under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work has been also supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UID8/00319/2020 and the European project MSCA-RISE-2015, NEWEX, with reference 734205.Springer, ChamUniversidade do MinhoA. Matos, MarinaRocha, Ana Maria A. C.Costa, LinoPereira, Ana I.20212021-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/76498engMatos M.A., Rocha A.M.A.C., Costa L.A., Pereira A.I. (2021) Multi-objective Optimization in the Build Orientation of a 3D CAD Model. In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-030-57422-2_7978-3-030-57421-51871-303310.1007/978-3-030-57422-2_7978-3-030-57422-2https://link.springer.com/chapter/10.1007/978-3-030-57422-2_7info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:39:57Zoai:repositorium.sdum.uminho.pt:1822/76498Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:00:33.813413Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Multi-objective optimization in the build orientation of a 3D CAD model
title Multi-objective optimization in the build orientation of a 3D CAD model
spellingShingle Multi-objective optimization in the build orientation of a 3D CAD model
A. Matos, Marina
3D Printing
Additive Manufacturing
Build Orientation
Multi-objective Optimization
title_short Multi-objective optimization in the build orientation of a 3D CAD model
title_full Multi-objective optimization in the build orientation of a 3D CAD model
title_fullStr Multi-objective optimization in the build orientation of a 3D CAD model
title_full_unstemmed Multi-objective optimization in the build orientation of a 3D CAD model
title_sort Multi-objective optimization in the build orientation of a 3D CAD model
author A. Matos, Marina
author_facet A. Matos, Marina
Rocha, Ana Maria A. C.
Costa, Lino
Pereira, Ana I.
author_role author
author2 Rocha, Ana Maria A. C.
Costa, Lino
Pereira, Ana I.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv A. Matos, Marina
Rocha, Ana Maria A. C.
Costa, Lino
Pereira, Ana I.
dc.subject.por.fl_str_mv 3D Printing
Additive Manufacturing
Build Orientation
Multi-objective Optimization
topic 3D Printing
Additive Manufacturing
Build Orientation
Multi-objective Optimization
description Over the years, rapid prototyping technologies have grown and have been implemented in many 3D model production companies. A variety of different additive manufacturing (AM) techniques are used in rapid prototyping. AM refers to a process by which digital 3D design data is used to build up a component in layers by depositing material. Several high-quality parts are being created in various engineering materials, including metal, ceramics, polymers and their combinations in the form of composites, hybrids, or functionally classified materials. The orientation of 3D models is very important since it can have a great influence on the surface quality characteristics, such as process planning, post-processing, processing time and cost. Thus, the identification of the optimal build orientation for a part is one of the main issues in AM. The quality measures to optimize the build orientation problem may include the minimization of the surface roughness, build time, need of supports, maximize of the part stability in building process or part accuracy, among others. In this paper, a multi-objective approach was applied to a computer-aided design model using MATLAB® multi-objective genetic algorithm, aiming to optimize the support area, the staircase effect and the build time. Preliminary results show the effectiveness of the proposed approach.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/76498
url http://hdl.handle.net/1822/76498
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Matos M.A., Rocha A.M.A.C., Costa L.A., Pereira A.I. (2021) Multi-objective Optimization in the Build Orientation of a 3D CAD Model. In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-030-57422-2_7
978-3-030-57421-5
1871-3033
10.1007/978-3-030-57422-2_7
978-3-030-57422-2
https://link.springer.com/chapter/10.1007/978-3-030-57422-2_7
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer, Cham
publisher.none.fl_str_mv Springer, Cham
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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