Spatial variation of blood viscosity: Modelling using shear fields measured by a μPIV based technique
Saved in:
| Title: | Spatial variation of blood viscosity: Modelling using shear fields measured by a μPIV based technique |
|---|---|
| Authors: | Kaliviotis, Efstathios efstathios.kaliviotis@kcl.ac.uk, Dusting, Jonathan1, Balabani, Stavroula1 |
| Source: | Medical Engineering & Physics. Sep2011, Vol. 33 Issue 7, p824-831. 8p. |
| Subjects: | Blood viscosity, Spatial variation, Shear (Mechanics), Blood flow, Erythrocytes, Estimation theory, Microstructure |
| Abstract: | 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. [Copyright &y& Elsevier] |
| Copyright of Medical Engineering & Physics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
