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PMID: 33767279 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation.

Scientific reports ·Vol. 11 ·No. 1 ·2021-00-25 ·页码 6875

Zhao YC, Vatankhah P, Goh T, Michelis R, Kyanian K, Zhang Y, Li Z, Ju LA

Abstract

Disturbed blood flow has been increasingly recognized for its critical role in platelet aggregation and thrombosis. Microfluidics with hump shaped contractions have been developed to mimic microvascular stenosis and recapitulate the prothrombotic effect of flow disturbance. However the physical determinants of microfluidic hemodynamics are not completely defined. Here, we report a refined computational fluid dynamics (CFD) simulation approach to map the shear rate (γ) and wall shear stress (τ) distribution in the stenotic region at high accuracy. Using ultra-fine meshing with sensitivity verification, our CFD results show that the stenosis level (S) is dominant over the bulk shear rate (γ0) and contraction angle (α) in determining γ and τ distribution at stenosis. In contrast, α plays a significant role in governing the shear rate gradient (γ') distribution while it exhibits subtle effects on the peak γ. To investigate the viscosity effect, we employ a Generalized Power-Law model to simulate blood flow as a non-Newtonian fluid, showing negligible difference in the γ distribution when compared with Newtonian simulation with water medium. Together, our refined CFD method represents a comprehensive approach to examine microfluidic hemodynamics in three dimensions and guide microfabrication designs. Combining this with hematological experiments promises to advance understandings of the rheological effect in thrombosis and platelet mechanobiology.

MeSH 主题词
Blood Flow Velocity Computer Simulation Hemodynamics Humans Hydrodynamics Microfluidics/instrumentation,methods Models, Cardiovascular Stress, Mechanical Thrombosis/physiopathology
作者与单位
共 8 位作者,点击展开单位 / ORCID
Zhao Yunduo Charles
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia. | Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia.
Vatankhah Parham
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia.
Goh Tiffany
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia. | Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia. | Heart Research Institute, Newtown, NSW, 2042, Australia.
Michelis Rhys
School of Chemical and Biomolecular Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia.
Kyanian Kiarash
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia.
Zhang Yingqi
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia.
Li Zhiyong
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, 4000, Australia.
Ju Lining Arnold
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW, 2008, Australia. [email protected]. | Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia. [email protected]. | Heart Research Institute, Newtown, NSW, 2042, Australia. [email protected].
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Corresponding email
Published
2021-00-25
电子出版
2021-00-25
页码
6875
Language
English
Country/Region
England
NLM ID
101563288
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