| Title: | Solidification of gelatine hydrogels by using a cryoplatform and its validation through CFD approaches |
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| Authors: | ID Potta Thara, Yasir Beeran (Author) ID Jordan, Miha (Author) ID Gomboc, Timi (Author) ID Kamenik, Blaž (Author) ID Vihar, Boštjan (Author) ID Kokol, Vanja (Author) ID Zadravec, Matej (Author) |
| Files: | gels-08-00368.pdf (5,41 MB) MD5: DC7E8D50042EBF69676C962C71013648
https://www.mdpi.com/2310-2861/8/6/368
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | In this work, we developed a numerical approach based on an experimental platform
to determine the working conditions on a cryoplatform and to predict and evaluate the cryogenic
printing of hydrogels. Although hydrogels have good biocompatibility, their material properties
make it difficult to print them with high precision and shape fidelity. To overcome these problems, a
cryogenic cooling platform was introduced to accelerate the physical stabilisation of each deposited
layer during the printing process. By precisely controlling solidification (crystallisation), each printed
material can withstand its own weight to maintain shape fidelity, and the porosity of the scaffolds
can also be controlled more selectively. The thermophysical properties of gelatine hydrogels were
investigated to gain a better understanding of the phase change upon freezing. The corresponding
material properties and experimental observations of gelatine solidification served as the basis for
developing a computational fluid model (CFD) to mimic the solidification of gelatine hydrogels
using a cryoplatform at different process conditions and extruder speeds. The goal was to develop a
tool simple enough to predict acceptable process conditions for printing gelatine hydrogels using
a cryoplatform. |
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| Keywords: | gelatine, hydrogel, cryoprinting, CFD simulation, solidification modelling |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 19.04.2022 |
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| Article acceptance date: | 08.06.2022 |
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| Publication date: | 10.06.2022 |
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| Publisher: | MDPI AG |
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| Year of publishing: | 2022 |
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| Number of pages: | 17 str. |
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| Numbering: | Vol. 8, iss. 6 |
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| PID: | 20.500.12556/DKUM-92193  |
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| UDC: | 544.773.432 |
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| ISSN on article: | 2310-2861 |
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| COBISS.SI-ID: | 112219395  |
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| DOI: | 10.3390/gels8060368  |
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| Copyright: | © 2022 by the authors. |
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| Publication date in DKUM: | 20.03.2025 |
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| Views: | 165 |
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| Downloads: | 18 |
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| Metadata: |  |
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| Categories: | Misc.
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