Multi-objective optimization in the build orientation of a 3D CAD model
| Main Author: | |
|---|---|
| Publication Date: | 2021 |
| Other Authors: | , , |
| 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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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 |
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book part |
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info:eu-repo/semantics/publishedVersion |
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publishedVersion |
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http://hdl.handle.net/1822/76498 |
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http://hdl.handle.net/1822/76498 |
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eng |
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eng |
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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 |
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openAccess |
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application/pdf |
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Springer, Cham |
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Springer, Cham |
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