Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element Models
In this study, the mechanical properties of two classes of robocast glass scaffolds are obtained through Computed micro-Tomography (micro-CT) based Finite Element Modeling (FEM) with the specific purpose to explicitly account for the geometrical defects introduced during manufacturing. Both classes...
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MDPI AG
2022-09-01
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Online Access: | https://www.mdpi.com/1996-1944/15/18/6344 |
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author | Luca D’Andrea Dario Gastaldi Enrica Verné Francesco Baino Jonathan Massera Gissur Örlygsson Pasquale Vena |
author_facet | Luca D’Andrea Dario Gastaldi Enrica Verné Francesco Baino Jonathan Massera Gissur Örlygsson Pasquale Vena |
author_sort | Luca D’Andrea |
collection | DOAJ |
description | In this study, the mechanical properties of two classes of robocast glass scaffolds are obtained through Computed micro-Tomography (micro-CT) based Finite Element Modeling (FEM) with the specific purpose to explicitly account for the geometrical defects introduced during manufacturing. Both classes demonstrate a fiber distribution along two perpendicular directions on parallel layers with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>90</mn><mo>∘</mo></msup></semantics></math></inline-formula> tilting between two adjacent layers. The crack pattern identified upon compression loading is consistent with that found in experimental studies available in literature. The finite element models have demonstrated that the effect of imperfections on elastic and strength properties may be substantial, depending on the specific type of defect identified in the scaffolds. In particular, micro-porosity, fiber length interruption and fiber detaching were found as key factors. The micro-pores act as stress concentrators promoting fracture initiation and propagation, while fiber detachment reduces the scaffold properties substantially along the direction perpendicular to the fiber plane. |
first_indexed | 2024-03-09T23:18:24Z |
format | Article |
id | doaj.art-41184d856445402f9de737fedd20f4f8 |
institution | Directory Open Access Journal |
issn | 1996-1944 |
language | English |
last_indexed | 2024-03-09T23:18:24Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Materials |
spelling | doaj.art-41184d856445402f9de737fedd20f4f82023-11-23T17:31:53ZengMDPI AGMaterials1996-19442022-09-011518634410.3390/ma15186344Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element ModelsLuca D’Andrea0Dario Gastaldi1Enrica Verné2Francesco Baino3Jonathan Massera4Gissur Örlygsson5Pasquale Vena6Laboratory of Biological Structure Mechanics (LaBS)—Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering Giulio Natta, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyLaboratory of Biological Structure Mechanics (LaBS)—Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering Giulio Natta, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyInstitute of Materials Physics and Engineering, Department of Applied Science and Technology—Politecnico di Torino, 10129 Torino, ItalyInstitute of Materials Physics and Engineering, Department of Applied Science and Technology—Politecnico di Torino, 10129 Torino, ItalyFaculty of Medicine and Health Technology, Tampere University, 33100 Tampere, FinlandIceTec, 112 Reykjavik, IcelandLaboratory of Biological Structure Mechanics (LaBS)—Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering Giulio Natta, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyIn this study, the mechanical properties of two classes of robocast glass scaffolds are obtained through Computed micro-Tomography (micro-CT) based Finite Element Modeling (FEM) with the specific purpose to explicitly account for the geometrical defects introduced during manufacturing. Both classes demonstrate a fiber distribution along two perpendicular directions on parallel layers with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>90</mn><mo>∘</mo></msup></semantics></math></inline-formula> tilting between two adjacent layers. The crack pattern identified upon compression loading is consistent with that found in experimental studies available in literature. The finite element models have demonstrated that the effect of imperfections on elastic and strength properties may be substantial, depending on the specific type of defect identified in the scaffolds. In particular, micro-porosity, fiber length interruption and fiber detaching were found as key factors. The micro-pores act as stress concentrators promoting fracture initiation and propagation, while fiber detachment reduces the scaffold properties substantially along the direction perpendicular to the fiber plane.https://www.mdpi.com/1996-1944/15/18/6344bioactive glassscaffoldcomputed micro-tomographystrengthrobocasting |
spellingShingle | Luca D’Andrea Dario Gastaldi Enrica Verné Francesco Baino Jonathan Massera Gissur Örlygsson Pasquale Vena Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element Models Materials bioactive glass scaffold computed micro-tomography strength robocasting |
title | Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element Models |
title_full | Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element Models |
title_fullStr | Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element Models |
title_full_unstemmed | Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element Models |
title_short | Mechanical Properties of Robocast Glass Scaffolds Assessed through Micro-CT-Based Finite Element Models |
title_sort | mechanical properties of robocast glass scaffolds assessed through micro ct based finite element models |
topic | bioactive glass scaffold computed micro-tomography strength robocasting |
url | https://www.mdpi.com/1996-1944/15/18/6344 |
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