Wanniarachchi, Chameekara T., Arjunan, Arun, Baroutaji, Ahmad and Singh, Manpreet (2023). 3D printing customised stiffness-matched meta-biomaterial with near-zero auxeticity for load-bearing tissue repair. Bioprinting, 33 ,
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 ( σ y ), 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 , σ y 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.
Publication DOI: | https://doi.org/10.1016/j.bprint.2023.e00292 |
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Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology College of Engineering & Physical Sciences |
Additional Information: | Copyright © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/) |
Uncontrolled Keywords: | 3D printing,Auxetic bone scaffold,Laser powder bed fusion,Meta-biomaterials,Metamaterials,Biotechnology,Biomedical Engineering,Computer Science Applications |
Publication ISSN: | 2405-8866 |
Last Modified: | 18 Nov 2024 08:42 |
Date Deposited: | 22 Jun 2023 08:14 |
Full Text Link: | |
Related URLs: |
https://www.sci ... 0350?via%3Dihub
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2023-09 |
Published Online Date: | 2023-06-19 |
Accepted Date: | 2023-06-15 |
Authors: |
Wanniarachchi, Chameekara T.
Arjunan, Arun Baroutaji, Ahmad ( 0000-0002-4717-1216) Singh, Manpreet |
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