Imperial College London
Alternate

ProfessorPeterWeinberg

Faculty of Engineering, Department of Bioengineering

Professor in Cardiovascular Mechanics
 
 
 
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Contact

 

+44 (0)20 7594 1517p.weinberg Website

 
 
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Location

 

4.10Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Arshad:2021:10.1002/bit.27951,
author = {Arshad, M and Rowland, EM and Riemer, K and Sherwin, SJ and Weinberg, PD},
doi = {10.1002/bit.27951},
journal = {Biotechnology and Bioengineering},
title = {Improvement and validation of a computational model of flow in the swirling well cell culture model},
url = {http://dx.doi.org/10.1002/bit.27951},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Effects of fluid dynamics on cells are often studied by growing the cells on the base of cylindrical wells or dishes that are swirled on the horizontal platform of an orbital shaker. The swirling culture medium applies a shear stress to the cells that varies in magnitude and directionality from the centre to the edge of the vessel. Computational fluid dynamics methods are used to simulate the flow and hence calculate shear stresses at the base of the well. The shear characteristics at each radial location are then compared with cell behaviour at the same position. Previous simulations have generally ignored effects of surface tension and wetting, and results have only occasionally been experimentally validated. We investigated whether such idealized simulations are sufficiently accurate, examining a commonly-used swirling well configuration. The breaking wave predicted by earlier simulations was not seen, and the edge-to-centre difference in shear magnitude (but not directionality) almost disappeared, when surface tension and wetting were included. Optical measurements of fluid height and velocity agreed well only with the computational model that incorporated surface tension and wetting. These results demonstrate the importance of including accurate fluid properties in computational models of the swirling well method.
AU  - Arshad,M
AU  - Rowland,EM
AU  - Riemer,K
AU  - Sherwin,SJ
AU  - Weinberg,PD
DO  - 10.1002/bit.27951
PY  - 2021///
SN  - 0006-3592
TI  - Improvement and validation of a computational model of flow in the swirling well cell culture model
T2  - Biotechnology and Bioengineering
UR  - http://dx.doi.org/10.1002/bit.27951
UR  - https://onlinelibrary.wiley.com/doi/10.1002/bit.27951
UR  - http://hdl.handle.net/10044/1/92132
ER  -
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