3D printing customised stiffness-matched meta-biomaterial with near-zero auxeticity for load-bearing tissue repair
dc.contributor.author | Wanniarachchi, Chameekara | |
dc.contributor.author | Arjunan, Arun | |
dc.contributor.author | Baroutaji, Ahmad | |
dc.contributor.author | Singh, Manpreet | |
dc.date.accessioned | 2023-06-28T11:06:54Z | |
dc.date.available | 2023-06-28T11:06:54Z | |
dc.date.issued | 2023-06-24 | |
dc.identifier.citation | Wanniarachchi, C.T., Arjunan, A., Baroutaji, A. and Singh, M. (2023) 3D printing customised stiffness-matched meta-biomaterial with near-zero auxeticity for load-bearing tissue repair. Bioprinting, 33, e00292. | en |
dc.identifier.issn | 2405-8866 | en |
dc.identifier.doi | 10.1016/j.bprint.2023.e00292 | en |
dc.identifier.uri | http://hdl.handle.net/2436/625252 | |
dc.description | © 2023 The Authors. Published by Elsevier. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1016/j.bprint.2023.e00292 | en |
dc.description.abstract | The evolution of meta-biomaterials has opened up exciting new opportunities for mass personalisation of biomedical devices. This research paper details the development of a CoCrMo meta-biomaterial structure that facilitates personalised stiffness-matching while also exhibiting near-zero auxeticity. Using laser powder bed fusion, the porous architecture of the meta-biomaterial was characterised, showing potential for near-zero Poisson’s ratio. The study also introduces a novel surrogate model that can predict the porosity (φ), yield strength (σy), elastic modulus (E), and negative Poisson’s ratio ( - υ) of the meta-biomaterial, which was achieved through prototype testing and numerical modelling. The model was then used to inform a multi-criteria desirability objective, revealing an optimum near-zero - υ of - 0.037, with a targeted stiffness of 17.21 GPa. Parametric analysis of the meta-biomaterial showed that it exhibited - υ, φ, σy and E values ranging from - 0.02 to -0.08, 73.63–81.38%, 41–64 MPa, and 9.46–20.6 GPa, respectively. In this study, a surrogate model was developed for the purpose of generating personalised scenarios for the production of bone scaffolds. By utilising this model, it was possible to achieve near-zero - υ and targeted stiffness personalisation. This breakthrough has significant implications for the field of bone tissue engineering and could pave the way for improved patient outcomes. The presented methodology is a powerful tool for the development of biomaterials and biomedical devices that can be 3D printed on demand for load-bearing tissue reconstruction. It has the potential to facilitate the creation of highly tailored and effective treatments for various conditions and injuries, ultimately enhancing patient outcomes. | en |
dc.format | application/pdf | en |
dc.language | en | |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.relation.url | https://www.sciencedirect.com/science/article/pii/S2405886623000350?via%3Dihub | en |
dc.subject | laser powder bed fusion | en |
dc.subject | 3D printing | en |
dc.subject | metamaterials | en |
dc.subject | meta-biomaterials | en |
dc.subject | auxetic bone scaffold | en |
dc.title | 3D printing customised stiffness-matched meta-biomaterial with near-zero auxeticity for load-bearing tissue repair | en |
dc.type | Journal article | en |
dc.identifier.journal | Bioprinting | en |
dc.date.updated | 2023-06-26T22:38:34Z | |
dc.identifier.articlenumber | e00292 | |
dc.date.accepted | 2023-06-15 | |
rioxxterms.funder | University of Wolverhampton | en |
rioxxterms.identifier.project | UOW28062023AA | en |
rioxxterms.version | VoR | en |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0/ | en |
rioxxterms.licenseref.startdate | 2023-06-28 | en |
dc.source.volume | 33 | |
dc.source.beginpage | 1 | |
dc.description.version | Accepted version | |
refterms.dateFCD | 2023-06-28T11:06:28Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-06-28T11:06:55Z |