Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing

This work presents a computational procedure for direct integration of Topology Optimization and Additive Manufacturing (AM) technologies for compliant mechanisms design. Many topologically optimized geometries present manufacturing problems derived from the lack of self-supporting capacities and re...

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Detalles Bibliográficos
Autores: Garaigordobil Jiménez, Alain, Ansola Loyola, Rubén, Veguería López, Estrella, Fernández de Bustos, Igor
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/65135
Acceso en línea:http://hdl.handle.net/10810/65135
Access Level:acceso abierto
Palabra clave:topology
optimum design
additive manufacturing
overhang
compliant mechanism
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spelling Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturingGaraigordobil Jiménez, AlainAnsola Loyola, RubénVeguería López, EstrellaFernández de Bustos, Igortopologyoptimum designadditive manufacturingoverhangcompliant mechanismThis work presents a computational procedure for direct integration of Topology Optimization and Additive Manufacturing (AM) technologies for compliant mechanisms design. Many topologically optimized geometries present manufacturing problems derived from the lack of self-supporting capacities and require sacrificial support material for 3D printing. The proposed strategy introduces a novel overhang constraint to control the amount of sacrificial support material required for additive manufacturing of compliant mechanisms. This overhang constraint is defined as the ratio between the value of self supported contours and the total amount of admissible and inadmissible contours, and is computed by an edge detection algorithm known as the Smallest Univalue Segment Assimilating Nucleus, that analyzes the geometry of the model for locating contours and computes their inclination and orientation. The proposed algorithm has been implemented as part of a software for computer aided design and several benchmark examples have been used to demonstrate the capacities of the approach.This work was supported by The European Regional Development Fund (ERDF-FEDER) and the Ministry of Education and Science in Spain through the DPI2015-64863-R project (MINECO/FEDER-UE). The authors also wish to thank the Basque Government for financial assistance through IT919-16. The authors are beneficiary of the Predoctoral Program for the Training of Non-Doctor Researchers of the Department of Education of the Basque Government.Elsevier202420242019info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/65135reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MINECO/DPI2015-64863-R/https://doi.org/10.1016/j.cad.2018.12.006info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/© 2018 Elsevier under CC BY-NC-ND licenseoai:addi.ehu.eus:10810/651352026-06-18T09:23:17Z
dc.title.none.fl_str_mv Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
title Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
spellingShingle Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
Garaigordobil Jiménez, Alain
topology
optimum design
additive manufacturing
overhang
compliant mechanism
title_short Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
title_full Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
title_fullStr Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
title_full_unstemmed Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
title_sort Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing
dc.creator.none.fl_str_mv Garaigordobil Jiménez, Alain
Ansola Loyola, Rubén
Veguería López, Estrella
Fernández de Bustos, Igor
author Garaigordobil Jiménez, Alain
author_facet Garaigordobil Jiménez, Alain
Ansola Loyola, Rubén
Veguería López, Estrella
Fernández de Bustos, Igor
author_role author
author2 Ansola Loyola, Rubén
Veguería López, Estrella
Fernández de Bustos, Igor
author2_role author
author
author
dc.subject.none.fl_str_mv topology
optimum design
additive manufacturing
overhang
compliant mechanism
topic topology
optimum design
additive manufacturing
overhang
compliant mechanism
description This work presents a computational procedure for direct integration of Topology Optimization and Additive Manufacturing (AM) technologies for compliant mechanisms design. Many topologically optimized geometries present manufacturing problems derived from the lack of self-supporting capacities and require sacrificial support material for 3D printing. The proposed strategy introduces a novel overhang constraint to control the amount of sacrificial support material required for additive manufacturing of compliant mechanisms. This overhang constraint is defined as the ratio between the value of self supported contours and the total amount of admissible and inadmissible contours, and is computed by an edge detection algorithm known as the Smallest Univalue Segment Assimilating Nucleus, that analyzes the geometry of the model for locating contours and computes their inclination and orientation. The proposed algorithm has been implemented as part of a software for computer aided design and several benchmark examples have been used to demonstrate the capacities of the approach.
publishDate 2019
dc.date.none.fl_str_mv 2019
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/65135
url http://hdl.handle.net/10810/65135
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO/DPI2015-64863-R/
https://doi.org/10.1016/j.cad.2018.12.006
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
© 2018 Elsevier under CC BY-NC-ND license
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
© 2018 Elsevier under CC BY-NC-ND license
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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