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Comparison of CAD and voxel-based modelling methodologies for the mechanical simulation of extrusion-based 3D printed scaffolds

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journal contribution
posted on 2022-12-09, 15:32 authored by Gisela Vega, Rubén Paz, Andy GleadallAndy Gleadall, Mario Monzón, María Elena Alemán-Domínguez
Porous structures are of great importance in tissue engineering. Most scaffolds are 3D printed, but there is no single methodology to model these printed parts and to apply finite element analysis to estimate their mechanical behaviour. In this work, voxel-based and geometry-based modelling methodologies are defined and compared in terms of computational efficiency, dimensional accuracy, and mechanical behaviour prediction of printed parts. After comparing the volumes and dimensions of the models with the theoretical and experimental ones, they are more similar to the theoretical values because they do not take into account dimensional variations due to the printing temperature. This also affects the prediction of the mechanical behaviour, which is not accurate compared to reality, but it makes it possible to determine which geometry is stiffer. In terms of comparison of modelling methodologies, based on process efficiency, geometry-based modelling performs better for simple or larger parts, while voxel-based modelling is more advantageous for small and complex geometries.

Funding

BioAM project (Improvement of the biofunctionality of polymeric scaffolds obtained by additive manufacturing, DPI2017-88465-R) from the Ministerio de Ciencia, Innovación, y Universidades

PhD Grant Program of the University of Las Palmas de Gran Canaria (PIFULPGC-2019-ING-ARQ-1)

H2020-MSCA-RISE-2016- 734156

BAMOS project (Biomaterials and additive manufacturing: osteochondral scaffold innovation applied to osteoarthritis, H2020-MSCA-RISE-2016- 734156) from the European Union’s Horizon 2020 research and innovation programme

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Materials

Volume

14

Issue

19

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-09-23

Publication date

2021-09-29

Copyright date

2021

eISSN

1996-1944

Language

  • en

Depositor

Deposit date: 8 December 2022

Article number

5670

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