Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1177/09544119211025375 http://hdl.handle.net/11449/229350 |
Resumo: | Dental implants are widely used as a long-term treatment solution for missing teeth. A titanium implant is inserted into the jawbone, acting as a replacement for the lost tooth root and can then support a denture, crown or bridge. This allows discreet and high-quality aesthetic and functional improvement, boosting patient confidence. The use of implants also restores normal functions such as speech and mastication. Once an implant is placed, the surrounding bone will fuse to the titanium in a process known as osseointegration. The success of osseointegration is dependent on stress distribution within the surrounding bone and thus implant geometry plays an important role in it. Optimisation analyses are used to identify the geometry which results in the most favourable stress distribution, but the traditional methodology is inefficient, requiring analysis of numerous models and parameter combinations to identify the optimal solution. A proposed improvement to the traditional methodology includes the use of Design of Experiments (DOE) together with Response Surface Methodology (RSM). This would allow for a well-reasoned combination of parameters to be proposed. This study aims to use DOE, RSM and finite element models to develop a simplified optimisation analysis method for dental implant design. Drawing on data and results from previous studies, two-dimensional finite element models of a single Branemark implant, a multi-unit abutment, two prosthetic screws, a prosthetic crown and a region of mandibular bone were built. A small number of combinations of implant diameter and length were set based on the DOE method to analyse the influence of geometry on stress distribution at the bone-implant interface. The results agreed with previous studies and indicated that implant length is the critical parameter in reducing stress on cortical bone. The proposed method represents a more efficient analysis of multiple geometrical combinations with reduced time and computational cost, using fewer than a third of the models required by the traditional methods. Further work should include the application of this methodology to optimisation analyses using three-dimensional finite element models. |
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Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical boneDental implantdesign of experimentsfinite element methodoptimisationresponse surface methodologyDental implants are widely used as a long-term treatment solution for missing teeth. A titanium implant is inserted into the jawbone, acting as a replacement for the lost tooth root and can then support a denture, crown or bridge. This allows discreet and high-quality aesthetic and functional improvement, boosting patient confidence. The use of implants also restores normal functions such as speech and mastication. Once an implant is placed, the surrounding bone will fuse to the titanium in a process known as osseointegration. The success of osseointegration is dependent on stress distribution within the surrounding bone and thus implant geometry plays an important role in it. Optimisation analyses are used to identify the geometry which results in the most favourable stress distribution, but the traditional methodology is inefficient, requiring analysis of numerous models and parameter combinations to identify the optimal solution. A proposed improvement to the traditional methodology includes the use of Design of Experiments (DOE) together with Response Surface Methodology (RSM). This would allow for a well-reasoned combination of parameters to be proposed. This study aims to use DOE, RSM and finite element models to develop a simplified optimisation analysis method for dental implant design. Drawing on data and results from previous studies, two-dimensional finite element models of a single Branemark implant, a multi-unit abutment, two prosthetic screws, a prosthetic crown and a region of mandibular bone were built. A small number of combinations of implant diameter and length were set based on the DOE method to analyse the influence of geometry on stress distribution at the bone-implant interface. The results agreed with previous studies and indicated that implant length is the critical parameter in reducing stress on cortical bone. The proposed method represents a more efficient analysis of multiple geometrical combinations with reduced time and computational cost, using fewer than a third of the models required by the traditional methods. Further work should include the application of this methodology to optimisation analyses using three-dimensional finite element models.Centre for Simulation in Bioengineering Biomechanics and Biomaterials (CS3B) Department of Mechanical Engineering Engineering College of Bauru (FEB) São Paulo State University (UNESP)Department of Mathematics Faculty of Science (FC) São Paulo State University, São Paulo StateCentre for Simulation in Bioengineering Biomechanics and Biomaterials (CS3B) Department of Mechanical Engineering Engineering College of Bauru (FEB) São Paulo State University (UNESP)Department of Mathematics Faculty of Science (FC) São Paulo State University, São Paulo StateUniversidade Estadual Paulista (UNESP)Freitas, João PO [UNESP]Agostinho Hernandez, Bruno [UNESP]Gonçalves, Paulo J Paupitz [UNESP]Baptista, Edmea C [UNESP]Capello Sousa, Edson A [UNESP]2022-04-29T08:32:05Z2022-04-29T08:32:05Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1177/09544119211025375Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine.2041-30330954-4119http://hdl.handle.net/11449/22935010.1177/095441192110253752-s2.0-85112728361Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicineinfo:eu-repo/semantics/openAccess2024-06-28T13:55:08Zoai:repositorio.unesp.br:11449/229350Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:10:13.916787Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone |
title |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone |
spellingShingle |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone Freitas, João PO [UNESP] Dental implant design of experiments finite element method optimisation response surface methodology |
title_short |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone |
title_full |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone |
title_fullStr |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone |
title_full_unstemmed |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone |
title_sort |
Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone |
author |
Freitas, João PO [UNESP] |
author_facet |
Freitas, João PO [UNESP] Agostinho Hernandez, Bruno [UNESP] Gonçalves, Paulo J Paupitz [UNESP] Baptista, Edmea C [UNESP] Capello Sousa, Edson A [UNESP] |
author_role |
author |
author2 |
Agostinho Hernandez, Bruno [UNESP] Gonçalves, Paulo J Paupitz [UNESP] Baptista, Edmea C [UNESP] Capello Sousa, Edson A [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Freitas, João PO [UNESP] Agostinho Hernandez, Bruno [UNESP] Gonçalves, Paulo J Paupitz [UNESP] Baptista, Edmea C [UNESP] Capello Sousa, Edson A [UNESP] |
dc.subject.por.fl_str_mv |
Dental implant design of experiments finite element method optimisation response surface methodology |
topic |
Dental implant design of experiments finite element method optimisation response surface methodology |
description |
Dental implants are widely used as a long-term treatment solution for missing teeth. A titanium implant is inserted into the jawbone, acting as a replacement for the lost tooth root and can then support a denture, crown or bridge. This allows discreet and high-quality aesthetic and functional improvement, boosting patient confidence. The use of implants also restores normal functions such as speech and mastication. Once an implant is placed, the surrounding bone will fuse to the titanium in a process known as osseointegration. The success of osseointegration is dependent on stress distribution within the surrounding bone and thus implant geometry plays an important role in it. Optimisation analyses are used to identify the geometry which results in the most favourable stress distribution, but the traditional methodology is inefficient, requiring analysis of numerous models and parameter combinations to identify the optimal solution. A proposed improvement to the traditional methodology includes the use of Design of Experiments (DOE) together with Response Surface Methodology (RSM). This would allow for a well-reasoned combination of parameters to be proposed. This study aims to use DOE, RSM and finite element models to develop a simplified optimisation analysis method for dental implant design. Drawing on data and results from previous studies, two-dimensional finite element models of a single Branemark implant, a multi-unit abutment, two prosthetic screws, a prosthetic crown and a region of mandibular bone were built. A small number of combinations of implant diameter and length were set based on the DOE method to analyse the influence of geometry on stress distribution at the bone-implant interface. The results agreed with previous studies and indicated that implant length is the critical parameter in reducing stress on cortical bone. The proposed method represents a more efficient analysis of multiple geometrical combinations with reduced time and computational cost, using fewer than a third of the models required by the traditional methods. Further work should include the application of this methodology to optimisation analyses using three-dimensional finite element models. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-04-29T08:32:05Z 2022-04-29T08:32:05Z |
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 |
http://dx.doi.org/10.1177/09544119211025375 Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2041-3033 0954-4119 http://hdl.handle.net/11449/229350 10.1177/09544119211025375 2-s2.0-85112728361 |
url |
http://dx.doi.org/10.1177/09544119211025375 http://hdl.handle.net/11449/229350 |
identifier_str_mv |
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2041-3033 0954-4119 10.1177/09544119211025375 2-s2.0-85112728361 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129591700619264 |