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Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates

The trend towards patient-specific medical orthopedic prostheses has led to an increased use of 3D-printed surgical implants made of Ti6Al4V. However, uncertainties arise due to varying printing parameters, particularly with regards to the fatigue limit. This necessitates time-consuming and costly e...

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Autores principales: Nakhaei, Mohsen, Sterba, Manon, Foletti, Jean-Marc, Badih, Laurent, Behr, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073497/
https://www.ncbi.nlm.nih.gov/pubmed/37034247
http://dx.doi.org/10.3389/fbioe.2023.1133869
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author Nakhaei, Mohsen
Sterba, Manon
Foletti, Jean-Marc
Badih, Laurent
Behr, Michel
author_facet Nakhaei, Mohsen
Sterba, Manon
Foletti, Jean-Marc
Badih, Laurent
Behr, Michel
author_sort Nakhaei, Mohsen
collection PubMed
description The trend towards patient-specific medical orthopedic prostheses has led to an increased use of 3D-printed surgical implants made of Ti6Al4V. However, uncertainties arise due to varying printing parameters, particularly with regards to the fatigue limit. This necessitates time-consuming and costly experimental validation before they can be safely used on patients. To address this issue, this study aimed to employ a stress-life fatigue analysis approach coupled with a finite element (FE) simulation to estimate numerically the fatigue limit and location of failure for 3D-printed surgical osteosynthesis plates and to validate the results experimentally. However, predicting the fatigue life of 3D components is not a new concept and has previously been implemented in the medical device field, though without experimental validation. Then, an experimental fatigue test was conducted using a proposed modification to the staircase method introduced in ISO 12107. Additionally, a FE model was developed to estimate the stress cycles on the plate. The stress versus number of cycles to failure curve (S-N) obtained from the minimum mechanical properties of 3D-printed Ti6AI4V alloy according to ASTM F3001-14 to predict the fatigue limit. The comparison between experimental results and fatigue numerical predictions showed very good agreement. It was found that a linear elastic FE model was sufficient to estimate the fatigue limit, while an elastic-plastic model led to an accurate prediction throughout the implant’s cyclic life. The proposed method has great potential for enhancing patient-specific implant designs without the need for time-consuming and costly experimental regulatory testing.
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spelling pubmed-100734972023-04-06 Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates Nakhaei, Mohsen Sterba, Manon Foletti, Jean-Marc Badih, Laurent Behr, Michel Front Bioeng Biotechnol Bioengineering and Biotechnology The trend towards patient-specific medical orthopedic prostheses has led to an increased use of 3D-printed surgical implants made of Ti6Al4V. However, uncertainties arise due to varying printing parameters, particularly with regards to the fatigue limit. This necessitates time-consuming and costly experimental validation before they can be safely used on patients. To address this issue, this study aimed to employ a stress-life fatigue analysis approach coupled with a finite element (FE) simulation to estimate numerically the fatigue limit and location of failure for 3D-printed surgical osteosynthesis plates and to validate the results experimentally. However, predicting the fatigue life of 3D components is not a new concept and has previously been implemented in the medical device field, though without experimental validation. Then, an experimental fatigue test was conducted using a proposed modification to the staircase method introduced in ISO 12107. Additionally, a FE model was developed to estimate the stress cycles on the plate. The stress versus number of cycles to failure curve (S-N) obtained from the minimum mechanical properties of 3D-printed Ti6AI4V alloy according to ASTM F3001-14 to predict the fatigue limit. The comparison between experimental results and fatigue numerical predictions showed very good agreement. It was found that a linear elastic FE model was sufficient to estimate the fatigue limit, while an elastic-plastic model led to an accurate prediction throughout the implant’s cyclic life. The proposed method has great potential for enhancing patient-specific implant designs without the need for time-consuming and costly experimental regulatory testing. Frontiers Media S.A. 2023-03-22 /pmc/articles/PMC10073497/ /pubmed/37034247 http://dx.doi.org/10.3389/fbioe.2023.1133869 Text en Copyright © 2023 Nakhaei, Sterba, Foletti, Badih and Behr. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Nakhaei, Mohsen
Sterba, Manon
Foletti, Jean-Marc
Badih, Laurent
Behr, Michel
Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates
title Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates
title_full Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates
title_fullStr Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates
title_full_unstemmed Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates
title_short Experimental analysis and numerical fatigue life prediction of 3D-Printed osteosynthesis plates
title_sort experimental analysis and numerical fatigue life prediction of 3d-printed osteosynthesis plates
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073497/
https://www.ncbi.nlm.nih.gov/pubmed/37034247
http://dx.doi.org/10.3389/fbioe.2023.1133869
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