Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions

Tissue engineering requires the fabrication of three-dimensional (3D) multimaterial structures in complex geometries mimicking the hierarchical structure of biological tissues. To increase the mechanical and biological integrity of the tissue engineered structures, continuous printing of multiple ma...

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Main Authors: Ates, Gokhan, Bartolo, Paulo
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173097
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1730972024-01-13T16:48:15Z Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions Ates, Gokhan Bartolo, Paulo School of Mechanical and Aerospace Engineering Singapore Centre for 3D Printing Engineering::Mechanical engineering Biomaterials Tissue Engineering Tissue engineering requires the fabrication of three-dimensional (3D) multimaterial structures in complex geometries mimicking the hierarchical structure of biological tissues. To increase the mechanical and biological integrity of the tissue engineered structures, continuous printing of multiple materials through a printing head consisting of a single nozzle is crucial. In this work, numerical analysis was carried out to investigate the extrusion process of two different shear-thinning biomaterial solutions (alginate and gelatin) inside a novel single-nozzle dispensing system consisting of cartridges and a static mixer for varying input pressures, needle geometries, and outlet diameters. Systematic analysis of the dispensing process was conducted to describe the flow rate, velocity field, pressure drop, and shear stress distribution throughout the printing head. The spatial distribution of the biopolymer solutions along the mixing chamber was quantitatively analyzed and the simulation results were validated by comparing the pressure drop values with empirical correlations. The simulation results showed that the proposed dispensing system enables to fabricate homogenous material distribution across the nozzle outlet. The predicted shear stress along the proposed printing head model is lower than the critical shear values which correspond to negligible cell damage, suggesting that the proposed dispensing system can be used to print cell-laden tissue engineering constructs. Published version This project has been partially supported by the University of Manchester and the Engineering and Physical Sciences Research Council (EPSRC) of the UK, the Global Challenges Research Fund (CRF), grant number EP/ R01513/1. 2024-01-11T08:16:08Z 2024-01-11T08:16:08Z 2023 Journal Article Ates, G. & Bartolo, P. (2023). Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions. International Journal of Bioprinting, 9(6), 11-25. https://dx.doi.org/10.36922/IJB.0219 2424-8002 https://hdl.handle.net/10356/173097 10.36922/IJB.0219 2-s2.0-85176118347 6 9 11 25 en International Journal of Bioprinting © 2023 Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License, permitting distribution and reproduction in any medium, provided the original work is properly cited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Biomaterials
Tissue Engineering
spellingShingle Engineering::Mechanical engineering
Biomaterials
Tissue Engineering
Ates, Gokhan
Bartolo, Paulo
Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions
description Tissue engineering requires the fabrication of three-dimensional (3D) multimaterial structures in complex geometries mimicking the hierarchical structure of biological tissues. To increase the mechanical and biological integrity of the tissue engineered structures, continuous printing of multiple materials through a printing head consisting of a single nozzle is crucial. In this work, numerical analysis was carried out to investigate the extrusion process of two different shear-thinning biomaterial solutions (alginate and gelatin) inside a novel single-nozzle dispensing system consisting of cartridges and a static mixer for varying input pressures, needle geometries, and outlet diameters. Systematic analysis of the dispensing process was conducted to describe the flow rate, velocity field, pressure drop, and shear stress distribution throughout the printing head. The spatial distribution of the biopolymer solutions along the mixing chamber was quantitatively analyzed and the simulation results were validated by comparing the pressure drop values with empirical correlations. The simulation results showed that the proposed dispensing system enables to fabricate homogenous material distribution across the nozzle outlet. The predicted shear stress along the proposed printing head model is lower than the critical shear values which correspond to negligible cell damage, suggesting that the proposed dispensing system can be used to print cell-laden tissue engineering constructs.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Ates, Gokhan
Bartolo, Paulo
format Article
author Ates, Gokhan
Bartolo, Paulo
author_sort Ates, Gokhan
title Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions
title_short Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions
title_full Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions
title_fullStr Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions
title_full_unstemmed Computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions
title_sort computational fluid dynamics for the optimization of internal bioprinting parameters and mixing conditions
publishDate 2024
url https://hdl.handle.net/10356/173097
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