Size Effects in Finite Element Modelling of 3D Printed Bone Scaffolds Using Hydroxyapatite PEOT/PBT Composites
dc.contributor.author | Calderón Uríszar-Aldaca, Iñigo | |
dc.contributor.author | Pérez, Sergio | |
dc.contributor.author | Sinha, Ravi | |
dc.contributor.author | Camara-Torres, Maria | |
dc.contributor.author | Villanueva Díez, Sara | |
dc.contributor.author | Mota, Carlos Miguel Domingues | |
dc.contributor.author | Patelli, Alessandro | |
dc.contributor.author | Matanza Corro, Amaia | |
dc.contributor.author | Moroni, Lorenzo | |
dc.contributor.author | Sánchez, Alberto | |
dc.date.accessioned | 2021-08-10T08:40:34Z | |
dc.date.available | 2021-08-10T08:40:34Z | |
dc.date.issued | 2021-07-24 | |
dc.identifier.citation | Mathematics 9(15) : (2021) // Article ID 1746 | es_ES |
dc.identifier.issn | 2227-7390 | |
dc.identifier.uri | http://hdl.handle.net/10810/52803 | |
dc.description.abstract | Additive manufacturing (AM) of scaffolds enables the fabrication of customized patient-specific implants for tissue regeneration. Scaffold customization does not involve only the macroscale shape of the final implant, but also their microscopic pore geometry and material properties, which are dependent on optimizable topology. A good match between the experimental data of AM scaffolds and the models is obtained when there is just a few millimetres at least in one direction. Here, we describe a methodology to perform finite element modelling on AM scaffolds for bone tissue regeneration with clinically relevant dimensions (i.e., volume > 1 cm3). The simulation used an equivalent cubic eight node finite elements mesh, and the materials properties were derived both empirically and numerically, from bulk material direct testing and simulated tests on scaffolds. The experimental validation was performed using poly(ethylene oxide terephthalate)-poly(butylene terephthalate) (PEOT/PBT) copolymers and 45 wt% nano hydroxyapatite fillers composites. By applying this methodology on three separate scaffold architectures with volumes larger than 1 cm3, the simulations overestimated the scaffold performance, resulting in 150–290% stiffer than average values obtained in the validation tests. The results mismatch highlighted the relevance of the lack of printing accuracy that is characteristic of the additive manufacturing process. Accordingly, a sensitivity analysis was performed on nine detected uncertainty sources, studying their influence. After the definition of acceptable execution tolerances and reliability levels, a design factor was defined to calibrate the methodology under expectable and conservative scenarios. | es_ES |
dc.description.sponsorship | This research was funded by the European Union, represented by the European Commission, grant number 685825-FAST-H2020-NMP-2014-2015/H2020-NMP-PILOTS-2015. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/685825 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | finite element modelling | es_ES |
dc.subject | bone tissue engineering | es_ES |
dc.subject | 3D scaffold | es_ES |
dc.subject | additive manufacturing | es_ES |
dc.title | Size Effects in Finite Element Modelling of 3D Printed Bone Scaffolds Using Hydroxyapatite PEOT/PBT Composites | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2021-08-06T15:19:21Z | |
dc.rights.holder | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2227-7390/9/15/1746/htm | es_ES |
dc.identifier.doi | 10.3390/math9151746 | |
dc.contributor.funder | European Commission |
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Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).