Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation

Detalhes bibliográficos
Autor(a) principal: Sales, Flaminio Cesar
Data de Publicação: 2023
Outros Autores: Souza, Andrews Victor Almeida, Oliveira, Fallconny R. S., Lima, Rui Alberto Madeira Macedo, Ribeiro, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/87902
Resumo: The examination of hyperelastic materials' behavior, such as polydimethylsiloxane (PDMS), is crucial for applications in areas as biomedicine and electronics. However, the limitations of hyperelastic models for specific stress scenarios, with stress concentration, are not well explored on the literature. To address this, firstly, three constitutive models were evaluated (Neo-Hookean, Mooney-Rivlin, and Ogden) using numerical simulations and Digital Image Correlation (DIC) analysis during a uniaxial tensile test. The samples were made of PDMS with stress concentration geometries (center holes, shoulder fillets, and edge notches). Results of ANOVA analysis showed that any of the three models can be chosen for numerical analysis of PDMS since no significant differences in suitability were found. Finally, the Ogen model was chosen to obtain the stress concentration factors for these geometries, a property which characterize how discontinuities change the maximum stress supported by an element. Our study provides new values for variables needed to analyze and design hyperelastic elements and produce a foundation for understanding PDMS stress-strain behavior.
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spelling Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlationHyperelastic modelsStress concentration factorPDMSTensile testsDICEngenharia e Tecnologia::Engenharia MecânicaThe examination of hyperelastic materials' behavior, such as polydimethylsiloxane (PDMS), is crucial for applications in areas as biomedicine and electronics. However, the limitations of hyperelastic models for specific stress scenarios, with stress concentration, are not well explored on the literature. To address this, firstly, three constitutive models were evaluated (Neo-Hookean, Mooney-Rivlin, and Ogden) using numerical simulations and Digital Image Correlation (DIC) analysis during a uniaxial tensile test. The samples were made of PDMS with stress concentration geometries (center holes, shoulder fillets, and edge notches). Results of ANOVA analysis showed that any of the three models can be chosen for numerical analysis of PDMS since no significant differences in suitability were found. Finally, the Ogen model was chosen to obtain the stress concentration factors for these geometries, a property which characterize how discontinuities change the maximum stress supported by an element. Our study provides new values for variables needed to analyze and design hyperelastic elements and produce a foundation for understanding PDMS stress-strain behavior.The authors acknowledge the projects EXPL/EME-EME/0732/2021 and 2022.06207.PTDC for the financial support, through national funds (OE), within the scope of the Scientific Research and Technological Development Projects (IC&DT) program in all scientific domains (PTDC), PORTUGAL 2020 Partnership Agreement, European Regional Development Fund (FEDER), via the Foundation for Science and Technology, I.P. (FCT, I.P) and the R&D Units projects (UIDB/00690/2020 and UIDP/00690/2020) (CIMO), SusTEC (LA/P/0007/2020), UIDB/ 04077/2020, UIDP/04077/2020, UIDB/04436/2020 and UIDB/00532/ 2020. Andrews Souza acknowledges FCT for the Ph.D. scholarship 2021.07961.BD.ElsevierUniversidade do MinhoSales, Flaminio CesarSouza, Andrews Victor AlmeidaOliveira, Fallconny R. S.Lima, Rui Alberto Madeira MacedoRibeiro, João2023-122023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/87902eng1751-616110.1016/j.jmbbm.2023.10616437890343106164https://www.sciencedirect.com/science/article/pii/S1751616123005179?via%3Dihubinfo: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:RCAAP2024-02-03T01:20:13Zoai:repositorium.sdum.uminho.pt:1822/87902Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:30:25.069776Repositório 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 Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
title Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
spellingShingle Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
Sales, Flaminio Cesar
Hyperelastic models
Stress concentration factor
PDMS
Tensile tests
DIC
Engenharia e Tecnologia::Engenharia Mecânica
title_short Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
title_full Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
title_fullStr Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
title_full_unstemmed Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
title_sort Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
author Sales, Flaminio Cesar
author_facet Sales, Flaminio Cesar
Souza, Andrews Victor Almeida
Oliveira, Fallconny R. S.
Lima, Rui Alberto Madeira Macedo
Ribeiro, João
author_role author
author2 Souza, Andrews Victor Almeida
Oliveira, Fallconny R. S.
Lima, Rui Alberto Madeira Macedo
Ribeiro, João
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Sales, Flaminio Cesar
Souza, Andrews Victor Almeida
Oliveira, Fallconny R. S.
Lima, Rui Alberto Madeira Macedo
Ribeiro, João
dc.subject.por.fl_str_mv Hyperelastic models
Stress concentration factor
PDMS
Tensile tests
DIC
Engenharia e Tecnologia::Engenharia Mecânica
topic Hyperelastic models
Stress concentration factor
PDMS
Tensile tests
DIC
Engenharia e Tecnologia::Engenharia Mecânica
description The examination of hyperelastic materials' behavior, such as polydimethylsiloxane (PDMS), is crucial for applications in areas as biomedicine and electronics. However, the limitations of hyperelastic models for specific stress scenarios, with stress concentration, are not well explored on the literature. To address this, firstly, three constitutive models were evaluated (Neo-Hookean, Mooney-Rivlin, and Ogden) using numerical simulations and Digital Image Correlation (DIC) analysis during a uniaxial tensile test. The samples were made of PDMS with stress concentration geometries (center holes, shoulder fillets, and edge notches). Results of ANOVA analysis showed that any of the three models can be chosen for numerical analysis of PDMS since no significant differences in suitability were found. Finally, the Ogen model was chosen to obtain the stress concentration factors for these geometries, a property which characterize how discontinuities change the maximum stress supported by an element. Our study provides new values for variables needed to analyze and design hyperelastic elements and produce a foundation for understanding PDMS stress-strain behavior.
publishDate 2023
dc.date.none.fl_str_mv 2023-12
2023-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/87902
url https://hdl.handle.net/1822/87902
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1751-6161
10.1016/j.jmbbm.2023.106164
37890343
106164
https://www.sciencedirect.com/science/article/pii/S1751616123005179?via%3Dihub
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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