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http://hdl.handle.net/10553/114220
Título: | Modelling methodologies for Finite Element Analysis of material extrusion 3D printed scaffolds | Autores/as: | Vega Rodríguez, Gisela Del Carmen Paz Hernández, Rubén Monzón Verona, Mario Domingo Gledall, Andy |
Clasificación UNESCO: | 3312 Tecnología de materiales 3314 Tecnología médica |
Palabras clave: | Tissue engineering Scaffold Material extrusion additive manufacturing 3D geometry modelling Finite element analysis, et al. |
Fecha de publicación: | 2021 | Proyectos: | Biomaterials and Additive Manufacturing: Osteochondral Scaffold innovation applied to osteoarthritis | Conferencia: | BrainIT-Brain Revealed: Innovative Technologies in Neurosurgery Study | Resumen: | The material extrusion additive manufacturing (AM) results in porous structures, which are desired in tissue engineering. Most scaffolds are 3D printed, but there are several methodologies to model these printed parts and to estimate their mechanical behaviour by finite element analysis (FEA). In this work, two different approaches are defined and compared in terms of computational efficiency, dimensional accuracy, and mechanical behaviour prediction of printed parts: geometry-based and voxel-based modelling techniques. Both methodologies are applied in a real scaffold, starting from the manufacturing G-code file, and FEA was applied to the resulting models. The results of the compression tests and dimensional measurements were compared with experimental and theoretical data. Moreover, the time and CPU requirements were also studied to determine which methodology is more suitable for each application. In terms of scaffolds manufacturing, the geometry-based modelling methodology is a more efficient process for simple parts, such as rectilinear patterned scaffolds, while the voxel-based one is more advantageous for complex geometries, such as gyroids. The whole process, modelling and simulation, is useful to optimise parts before printing. | URI: | http://hdl.handle.net/10553/114220 |
Colección: | Ponencias |
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