Lightweight parametric optimisation method for cellular structures in additive manufactured parts

The application of cellular structures in additive manufactured parts combined with lightweight optimisation has an enormous potential, reducing weight, production time and cost. This paper presents a new method based on design of experiments, metamodels and genetic algorithms (combined with Compute...

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Detalles Bibliográficos
Autores: Paz Hernández, Rubén, Monzón Verona, Mario Domingo, González Landín, Begoña, Pei, Eujin, Winter Althaus, Gabriel, Ortega García,Fernando
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Repositorio:accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
OAI Identifier:oai:accedacris.ulpgc.es:10553/20068
Acceso en línea:http://hdl.handle.net/10553/20068
Access Level:acceso abierto
Palabra clave:331399 Otras (especificar)
3313 Tecnología e ingeniería mecánicas
1206 Análisis numérico
Design optimisation
Additive manufacturing
Genetic algorithm
Finite element analysis
Computer-aided design
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spelling Lightweight parametric optimisation method for cellular structures in additive manufactured partsPaz Hernández, RubénMonzón Verona, Mario DomingoGonzález Landín, BegoñaPei, EujinWinter Althaus, GabrielOrtega García,Fernando331399 Otras (especificar)3313 Tecnología e ingeniería mecánicas1206 Análisis numéricoDesign optimisationAdditive manufacturingGenetic algorithmFinite element analysisComputer-aided designThe application of cellular structures in additive manufactured parts combined with lightweight optimisation has an enormous potential, reducing weight, production time and cost. This paper presents a new method based on design of experiments, metamodels and genetic algorithms (combined with Computer Aided Design and Finite Element Method tools) to accomplish lightweight parametric optimisation of cellular structures in additive manufactured parts. Some specific strategies were implemented in the developed optimisation method to improve the performance compared with conventional methods. These strategies intensify the sampling for the surrogate model refinement in areas close to the feasible/unfeasible border, where the optimum is expected.BU-ING20172018201720182016info:eu-repo/semantics/articleArticlehttp://hdl.handle.net/10553/20068Int. J. Simul. Multisci. Des. Optim. [ISSN 1779-627X], v. 7(A6), 2016reponame:accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canariainstname:InglésInternational Journal for Simulation and Multidisciplinary Design Optimizationinfo:eu-repo/semantics/openAccessoai:accedacris.ulpgc.es:10553/200682025-08-04T10:01:22Z
dc.title.none.fl_str_mv Lightweight parametric optimisation method for cellular structures in additive manufactured parts
title Lightweight parametric optimisation method for cellular structures in additive manufactured parts
spellingShingle Lightweight parametric optimisation method for cellular structures in additive manufactured parts
Paz Hernández, Rubén
331399 Otras (especificar)
3313 Tecnología e ingeniería mecánicas
1206 Análisis numérico
Design optimisation
Additive manufacturing
Genetic algorithm
Finite element analysis
Computer-aided design
title_short Lightweight parametric optimisation method for cellular structures in additive manufactured parts
title_full Lightweight parametric optimisation method for cellular structures in additive manufactured parts
title_fullStr Lightweight parametric optimisation method for cellular structures in additive manufactured parts
title_full_unstemmed Lightweight parametric optimisation method for cellular structures in additive manufactured parts
title_sort Lightweight parametric optimisation method for cellular structures in additive manufactured parts
dc.creator.none.fl_str_mv Paz Hernández, Rubén
Monzón Verona, Mario Domingo
González Landín, Begoña
Pei, Eujin
Winter Althaus, Gabriel
Ortega García,Fernando
author Paz Hernández, Rubén
author_facet Paz Hernández, Rubén
Monzón Verona, Mario Domingo
González Landín, Begoña
Pei, Eujin
Winter Althaus, Gabriel
Ortega García,Fernando
author_role author
author2 Monzón Verona, Mario Domingo
González Landín, Begoña
Pei, Eujin
Winter Althaus, Gabriel
Ortega García,Fernando
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv BU-ING
dc.subject.none.fl_str_mv 331399 Otras (especificar)
3313 Tecnología e ingeniería mecánicas
1206 Análisis numérico
Design optimisation
Additive manufacturing
Genetic algorithm
Finite element analysis
Computer-aided design
topic 331399 Otras (especificar)
3313 Tecnología e ingeniería mecánicas
1206 Análisis numérico
Design optimisation
Additive manufacturing
Genetic algorithm
Finite element analysis
Computer-aided design
description The application of cellular structures in additive manufactured parts combined with lightweight optimisation has an enormous potential, reducing weight, production time and cost. This paper presents a new method based on design of experiments, metamodels and genetic algorithms (combined with Computer Aided Design and Finite Element Method tools) to accomplish lightweight parametric optimisation of cellular structures in additive manufactured parts. Some specific strategies were implemented in the developed optimisation method to improve the performance compared with conventional methods. These strategies intensify the sampling for the surrogate model refinement in areas close to the feasible/unfeasible border, where the optimum is expected.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017
2017
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
Article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10553/20068
url http://hdl.handle.net/10553/20068
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal for Simulation and Multidisciplinary Design Optimization
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Int. J. Simul. Multisci. Des. Optim. [ISSN 1779-627X], v. 7(A6), 2016
reponame:accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
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instname_str
reponame_str accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
collection accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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