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Topology and FEA modeling and optimization of a patient-specific zygoma implant

Cholkar, Abhijit orcid logoORCID: 0000-0003-4608-3203, Kinahan, David J. orcid logoORCID: 0000-0003-1968-2016 and Brabazon, Dermot orcid logoORCID: 0000-0003-3214-6381 (2021) Topology and FEA modeling and optimization of a patient-specific zygoma implant. In: 24th International Conference on Material Forming (ESAFORM 2021), 14-16 Apr 2021, Liege, Belgium (Online).

Abstract
Additive manufacturing has proven to be a very beneficial production technology in the medical and healthcare industries. While existing for over four decades, recent work has seen great improvements in the quality of products; particularly in medical devices such as implants. Improved customization reduced operating time and increased cost-effectiveness associated with Metal AM for these products offers a new value proposition. This paper investigates and evaluates modelling methods for the zygoma bone (human jawbone) and explores the most suitable material and optimum design for this critical biomedical implant. This paper proposes an innovative and efficient pre-process methodology that includes modelling, design validation, topological optimization, and numerical analysis. The method includes the generation of the model using reverse engineering of CT scan data and a topology optimization technique which makes the implant lightweight without causing excessive stress concentration. Static structural Finite Element Analysis was conducted to test three different biocompatible materials (Ti6Al4V, stainless steel 316L and CoCr alloys) which are commonly available for metal additive manufacturing. The stresses and conditions in the analysis were that of the human mastication process and all the implant design were tested with the three material types. The Taguchi method was used to determine the optimum design which was found to result in the highest mass reduction of 25% with Ti6Al4V as the implant material.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:3D Modelling; Additive manufacturing; zygoma implant; Finite Element Analysis
Subjects:Engineering > Materials
Engineering > Mechanical engineering
Engineering > Biomedical engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering
Research Initiatives and Centres > Advanced Processing Technology Research Centre (APTRC)
Research Initiatives and Centres > I-Form
Published in: 24th International Conference on Material Forming (ESAFORM 2021), Proceedings. . University of Liège.
Publisher:University of Liège
Official URL:https://popups.uliege.be/esaform21/index.php?id=75...
Copyright Information:© 2021 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI) under Grant Number 16/RC/3872 and is co-funded under the European Regional Development Fund and by I-Form industry partners.
ID Code:25778
Deposited On:20 Apr 2021 12:24 by Abhijit Suhas Cholkar . Last Modified 20 Apr 2021 12:24
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