Nondeterministic multiobjective optimization of 3D printed ceramic tissue scaffolds.

Entezari, A; Liu, N-C; Zhang, Z; Fang, J; Wu, C; Wan, B; Swain, M; Li, Q

Nondeterministic multiobjective optimization of 3D printed ceramic tissue scaffolds.

Entezari, A

Liu, N-C Zhang, Z Fang, J

Wu, C Wan, B Swain, M Li, Q

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: J Mech Behav Biomed Mater, 2023, 138, pp. 105580
Issue Date:: 2023-02

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Field	Value	Language
dc.contributor.author	Entezari, A https://orcid.org/0000-0003-0504-8364
dc.contributor.author	Liu, N-C
dc.contributor.author	Zhang, Z
dc.contributor.author	Fang, J https://orcid.org/0000-0003-0119-6108
dc.contributor.author	Wu, C
dc.contributor.author	Wan, B
dc.contributor.author	Swain, M
dc.contributor.author	Li, Q
dc.date.accessioned	2023-03-13T01:05:16Z
dc.date.available	2022-11-16
dc.date.available	2023-03-13T01:05:16Z
dc.date.issued	2023-02
dc.identifier.citation	J Mech Behav Biomed Mater, 2023, 138, pp. 105580
dc.identifier.issn	1751-6161
dc.identifier.issn	1878-0180
dc.identifier.uri	http://hdl.handle.net/10453/167117
dc.description.abstract	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.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	J Mech Behav Biomed Mater
dc.relation.isbasedon	10.1016/j.jmbbm.2022.105580
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0903 Biomedical Engineering, 0912 Materials Engineering, 0913 Mechanical Engineering
dc.subject.classification	Biomedical Engineering
dc.subject.mesh	Tissue Scaffolds
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Bone and Bones
dc.subject.mesh	Uncertainty
dc.subject.mesh	Printing, Three-Dimensional
dc.subject.mesh	Tissue Engineering
dc.subject.mesh	Bone and Bones
dc.subject.mesh	Tissue Engineering
dc.subject.mesh	Uncertainty
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Tissue Scaffolds
dc.subject.mesh	Printing, Three-Dimensional
dc.subject.mesh	Tissue Scaffolds
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Bone and Bones
dc.subject.mesh	Uncertainty
dc.subject.mesh	Printing, Three-Dimensional
dc.subject.mesh	Tissue Engineering
dc.title	Nondeterministic multiobjective optimization of 3D printed ceramic tissue scaffolds.
dc.type	Journal Article
utslib.citation.volume	138
utslib.location.activity	Netherlands
utslib.for	0903 Biomedical Engineering
utslib.for	0912 Materials Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2025-02-01T00:00:00+1000Z
dc.date.updated	2023-03-13T01:05:08Z
pubs.publication-status	Published
pubs.volume	138

Abstract:

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.

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http://hdl.handle.net/10453/167117