Nondeterministic multiobjective optimization of 3D printed ceramic tissue scaffolds.

Tissue Scaffolds / chemistry Reproducibility of Results Bone and Bones Uncertainty Printing, Three-Dimensional Tissue Engineering
Additive manufacturing Bioceramics Direct ink writing (robocasting) Multiobjective robust optimization Nondeterministic design Tissue scaffold Uncertainty

Journal

Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406

Informations de publication

Date de publication:
02 2023
Historique:
received: 23 06 2022
revised: 20 09 2022
accepted: 16 11 2022
pubmed: 13 12 2022
medline: 19 1 2023
entrez: 12 12 2022
Statut: ppublish

Résumé

Despite significant advances in the design optimization of bone scaffolds for enhancing their biomechanical properties, the functionality of these synthetic constructs remains suboptimal. One of the main challenges in the structural optimization of bone scaffolds is associated with the large uncertainties caused by the manufacturing process, such as variations in scaffolds' geometric features and constitutive material properties after fabrication. Unfortunately, such non-deterministic issues have not been considered in the existing optimization frameworks, thereby limiting their reliability. To address this challenge, a novel multiobjective robust optimization approach is proposed here such that the effects of uncertainties on the optimized design can be minimized. This study first conducted computational analyses of a parameterized ceramic scaffold model to determine its effective modulus, structural strength, and permeability. Then, surrogate models were constructed to formulate explicit mathematical relationships between the geometrical parameters (design variables) and mechanical and fluidic properties. The Non-Dominated Sorting Genetic Algorithm II (NSGA-II) was adopted to generate the robust Pareto solutions for an optimal set of trade-offs between the competing objective functions while ensuring the effects of the noise parameters to be minimal. Note that the nondeterministic optimization of tissue scaffold presented here is the first of its kind in open literature, which is expected to shed some light on this significant topic of scaffold design and additive manufacturing in a more realistic way.

Identifiants

DOI: 10.1016/j.jmbbm.2022.105580 PMID: 36509011
pubmed: 36509011
pii: S1751-6161(22)00485-4
doi: 10.1016/j.jmbbm.2022.105580
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105580

Informations de copyright

Copyright © 2022. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Qing Li reports financial support was provided by Australian Research Council (ARC).

Auteurs

Ali Entezari (A)

School of Biomedical Engineering, University of Technology Sydney, NSW, 2007, Australia. Electronic address: Ali.entezari@uts.edu.au.

Nai-Chun Liu (NC)

School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, NSW, 2008, Australia.

Zhongpu Zhang (Z)

School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW, 2751, Australia.

Jianguang Fang (J)

School of Civil and Environmental Engineering, University of Technology Sydney, NSW, 2007, Australia.

Chi Wu (C)

School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, NSW, 2008, Australia.

Boyang Wan (B)

School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, NSW, 2008, Australia.

Michael Swain (M)

School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, NSW, 2008, Australia.

Qing Li (Q)

School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, NSW, 2008, Australia. Electronic address: Qing.li@sydney.edu.au.

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Classifications MeSH

questionsmedicales.fr › Équipement et fournitures › Prothèses et implants › Structures d'échafaudage tissulaires › Nondeterministic multiobjective optimization...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › Nondeterministic multiobjective optimization...
questionsmedicales.fr › Tissus › Tissu conjonctif › Os et tissu osseux › Nondeterministic multiobjective optimization...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Incertitude › Nondeterministic multiobjective optimization...
questionsmedicales.fr › Sciences de l'information › Affichage de données › Infographie › Conception assistée par ordinateur › Impression tridimensionnelle › Nondeterministic multiobjective optimization...
questionsmedicales.fr › Technologie, industrie et agriculture › Ingénierie › Bioingénierie › Ingénierie cellulaire › Ingénierie tissulaire › Nondeterministic multiobjective optimization...