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TECHNICAL PAPERS: Fluids/Heat/Transport

Asymptotically Consistent Numerical Approximation of Hemolysis

[+] Author and Article Information
Marie-Isabelle Farinas, André Garon, David Lacasse, Donatien N’dri

Département de Génie Mécanique, École Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montréal, Quebec H3C 3A7, Canada

This is true for small values of damage, as it corresponds to the first term of the logartithmic development.

Computation of two NIH for each shear stress was done, to compare cases of high and low hemolysis levels.

J Biomech Eng 128(5), 688-696 (Mar 20, 2006) (9 pages) doi:10.1115/1.2241663 History: Received December 16, 2004; Revised March 20, 2006

In a previous communication, we have proposed a numerical framework for the prediction of in vitro hemolysis indices in the preselection and optimization of medical devices. This numerical methodology is based on a novel interpretation of Giersiepen-Wurzinger blood damage correlation as a volume integration of a damage function over the computational domain. We now propose an improvement of this approach based on a hyperbolic equation of blood damage that is asymptotically consistent. Consequently, while the proposed correction has yet to be proven experimentally, it has the potential to numerically predict more realistic red blood cell destruction in the case of in vitro experiments. We also investigate the appropriate computation of the shear stress scalar of the damage fraction model. Finally, we assess the validity of this consistent approach with an analytical example and with some 3D examples.

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Copyright © 2006 by American Society of Mechanical Engineers
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References

Figures

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Figure 10

Cross-section view of VAD prototype V (15-16)

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Figure 9

MIH variation with grid size for 16G cannula refinement study

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Figure 8

Schematics of the cannulas axisymetric geometry (4)

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Figure 7

Couette flow parameters

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Figure 6

Variation between the models DGW and DA at t=0.7s, outside the shear stress range

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Figure 5

Variation between the models DGW and DA at τ=255Pa, outside the exposure time range

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Figure 4

Variation between the models DGW and DA at τ=255Pa

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Figure 3

Variation between the models DGW and DA at τ=125Pa

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Figure 2

Variation between the models DGW and DA at τ=57Pa

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Figure 1

Destruction schematics over a closed volume of RBCs

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