Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/112101
Título: | Comparison of CAD and Voxel-Based Modelling Methodologies for the Mechanical Simulation of Extrusion-Based 3D Printed Scaffolds | Autores/as: | Vega, Gisela Paz Hernández, Rubén Gleadall, Andrew Monzón Verona, Mario Domingo Alemán Domínguez, María Elena |
Clasificación UNESCO: | 320714 Osteopatología 331212 Ensayo de materiales |
Palabras clave: | Tissue engineering Scaffold Material extrusion additive manufacturing; 3D geometry modelling; finite element analysis; mechanical properties |
Fecha de publicación: | 2021 | Proyectos: | Biomaterials and additive manufacturing: osteochondral scaffold innovation applied to osteoarthritis, H2020-MSCA-RISE-2016-734156 Improvement of the biofunctionality of polymeric scaffolds obtained by additive manufacturing, DPI2017-88465-R |
Publicación seriada: | Materials | Resumen: | 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. | URI: | http://hdl.handle.net/10553/112101 | ISSN: | 1996-1944 | DOI: | 10.3390/ma14195670 | Fuente: | Materials [ISSN 1996-1944], v. 14(19), (Octubre 2021) |
Colección: | Artículos |
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