Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18509
Title: Spatial variation of blood viscosity: Modelling using shear fields measured by a mu PIV based technique
Authors: Kaliviotis, Efstathios 
Dusting, Jonathan 
Balabani, Stavroula 
Major Field of Science: Engineering and Technology
Field Category: Other Engineering and Technologies
Keywords: Aggregates;Micro-scale blood flow;RBC network formation
Issue Date: Sep-2011
Source: Medical Engineering and Physics, vol. 33, iss. 7, 2011, pp. 824-831
Volume: 33
Issue: 7
Start page: 824
End page: 831
Journal: Medical Engineering and Physics 
Abstract: The spatial characteristics of blood viscosity were investigated by combining a newly developed constitutive equation with shear deformation fields calculated from velocity measurements obtained by a μPIV based technique. Blood at physiological hematocrit levels and in the presence of aggregation was sheared in a narrow gap plate-plate geometry and the velocity and aggregation characteristics were determined from images captured using a high resolution camera. Changes in the microstructure of blood caused by aggregation were observed to affect the flow characteristics. At low shear rates, high aggregation and network formation caused the RBC motion to become essentially two-dimensional. The measured velocity fields were used to estimate the magnitude of shear which was subsequently used in conjunction with the new model to assess the spatial variation of viscosity across the flow domain. It was found that the non-uniform microstructural characteristics of blood influence its viscosity distribution accordingly. The viscosity of blood estimated in the core of the examined flow, using a zero-gradient core velocity profile assumption, was found to be significantly higher than the overall effective viscosity determined using other velocity profile assumptions.
URI: https://hdl.handle.net/20.500.14279/18509
ISSN: 13504533
DOI: 10.1016/j.medengphy.2010.09.004
Rights: © Elsevier
Type: Article
Affiliation : King's College London 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

20
checked on Feb 1, 2024

WEB OF SCIENCETM
Citations

21
Last Week
1
Last month
0
checked on Oct 29, 2023

Page view(s)

283
Last Week
0
Last month
3
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons