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Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices

Delamination at heterogeneous material interfaces is one of the most prominent failure modes in active implantable medical devices (AIMDs). A well-known example of an AIMD is the cochlear implant (CI). In mechanical engineering, a multitude of testing procedures are known whose data can be used for...

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Autores principales: Nguyen, Minh-Hai, Onken, Adrian, Wulff, Anika, Foremny, Katharina, Torgau, Patricia, Schütte, Helmut, Hild, Sabine, Doll, Theodor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215766/
https://www.ncbi.nlm.nih.gov/pubmed/37237696
http://dx.doi.org/10.3390/bioengineering10050625
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author Nguyen, Minh-Hai
Onken, Adrian
Wulff, Anika
Foremny, Katharina
Torgau, Patricia
Schütte, Helmut
Hild, Sabine
Doll, Theodor
author_facet Nguyen, Minh-Hai
Onken, Adrian
Wulff, Anika
Foremny, Katharina
Torgau, Patricia
Schütte, Helmut
Hild, Sabine
Doll, Theodor
author_sort Nguyen, Minh-Hai
collection PubMed
description Delamination at heterogeneous material interfaces is one of the most prominent failure modes in active implantable medical devices (AIMDs). A well-known example of an AIMD is the cochlear implant (CI). In mechanical engineering, a multitude of testing procedures are known whose data can be used for detailed modeling with respect to digital twins. Detailed, complex models for digital twins are still lacking in bioengineering since body fluid infiltration occurs both into the polymer substrate and along the metal-polymer interfaces. For a newly developed test for an AIMD or CI composed of silicone rubber and metal wiring or electrodes, a mathematical model of these mechanisms is presented. It provides a better understanding of the failure mechanisms in such devices and their validation against real-life data. The implementation utilizes COMSOL Multiphysics(®), consisting of a volume diffusion part and models for interface diffusion (and delamination). For a set of experimental data, the necessary diffusion coefficient could be derived. A subsequent comparison of experimental and modeling results showed a good qualitative and functional match. The delamination model follows a mechanical approach. The results of the interface diffusion model, which follows a substance transport-based approach, show a very good approximation to the results of previous experiments.
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spelling pubmed-102157662023-05-27 Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices Nguyen, Minh-Hai Onken, Adrian Wulff, Anika Foremny, Katharina Torgau, Patricia Schütte, Helmut Hild, Sabine Doll, Theodor Bioengineering (Basel) Article Delamination at heterogeneous material interfaces is one of the most prominent failure modes in active implantable medical devices (AIMDs). A well-known example of an AIMD is the cochlear implant (CI). In mechanical engineering, a multitude of testing procedures are known whose data can be used for detailed modeling with respect to digital twins. Detailed, complex models for digital twins are still lacking in bioengineering since body fluid infiltration occurs both into the polymer substrate and along the metal-polymer interfaces. For a newly developed test for an AIMD or CI composed of silicone rubber and metal wiring or electrodes, a mathematical model of these mechanisms is presented. It provides a better understanding of the failure mechanisms in such devices and their validation against real-life data. The implementation utilizes COMSOL Multiphysics(®), consisting of a volume diffusion part and models for interface diffusion (and delamination). For a set of experimental data, the necessary diffusion coefficient could be derived. A subsequent comparison of experimental and modeling results showed a good qualitative and functional match. The delamination model follows a mechanical approach. The results of the interface diffusion model, which follows a substance transport-based approach, show a very good approximation to the results of previous experiments. MDPI 2023-05-22 /pmc/articles/PMC10215766/ /pubmed/37237696 http://dx.doi.org/10.3390/bioengineering10050625 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nguyen, Minh-Hai
Onken, Adrian
Wulff, Anika
Foremny, Katharina
Torgau, Patricia
Schütte, Helmut
Hild, Sabine
Doll, Theodor
Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices
title Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices
title_full Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices
title_fullStr Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices
title_full_unstemmed Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices
title_short Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices
title_sort computational modeling of diffusion-based delamination for active implantable medical devices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215766/
https://www.ncbi.nlm.nih.gov/pubmed/37237696
http://dx.doi.org/10.3390/bioengineering10050625
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