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SIMULATING BIORESORBABLE LATTICE STRUCTURES TO ENABLE TIME-DEPENDENT STIFFNESS IN FRACTURE FIXATION DEVICES

Published online by Cambridge University Press:  19 June 2023

Barnaby Hawthorn*
Affiliation:
School of Engineering, University of Birmingham;
Andrew Triantaphyllou
Affiliation:
The Manufacturing Technology Centre (MTC) Ltd, United Kingdom;
Farhan Khan
Affiliation:
The Manufacturing Technology Centre (MTC) Ltd, United Kingdom;
Rosemary Dyson
Affiliation:
School of Mathematics, University of Birmingham, United Kingdom
Lauren E. J. Thomas-Seale
Affiliation:
School of Engineering, University of Birmingham;
*
Hawthorn, Barnaby, University of Birmingham, United Kingdom, BXH481@student.bham.ac.uk

Abstract

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Additive manufacture (AM) enables a greatly increased design freedom owing to its ability to manufacture otherwise difficult or impossible geometries. However, design creativity can often present itself as a barrier to realising the advantages that AM could offer. In this study the use of AM, bioresorbable materials and lattice design is considered as a method of satisfying contradicting design requirements during fracture healing. Often, immediately after a fracture high stiffness fixation is required; contradictingly during the remodelling phase high stiffness can inhibit bone healing. This study proposes the use of a bioresorbable body centred cubic (BCC) or face centred cubic (FCC) lattice structure to meet the need for tailored variation in implant stiffness over time. To reduce computational expense of lattice modelling a method is outlined, including the use of homogenisation. Results show homogenised representations perform within 5.2% and 1.4% for BCC and FCC unit cells respectively, with a 95% reduction in computational expense. Using resorption rates from the literature, time-dependent change in unit cell geometry was also modelled, showing the way in which a decrease in stiffness over time could be achieved.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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