Stress concentration on PDMS: an evaluation of three numerical constitutive models using digital image correlation
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
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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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 |
eu_rights_str_mv |
openAccess |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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