Key result
Non-Newtonian fluid models produced 2.5 times higher viscosity distal to the flow separation point and average velocity differences of 17-22% at systolic peak compared to Newtonian models.
Why the study?
Does a non-Newtonian fluid model compared to a Newtonian model affect hemodynamic parameters in an idealized cerebral artery bifurcation model?
Does a non-Newtonian fluid model compared to a Newtonian model affect hemodynamic parameters in an idealized cerebral artery bifurcation model?
Non-Newtonian blood behavior significantly affects hemodynamic parameters in cerebral artery bifurcations, particularly in slow recirculating flow zones, and should be considered in future computational studies.
Newtonian models may underestimate viscosity in cerebral recirculation zones; leaves open whether non-Newtonian rheology refines CFD-based risk stratification.
The majority of numerical simulations assumes blood as a Newtonian fluid due to an underestimation of the effect of non-Newtonian blood behavior on hemodynamics in the cerebral arteries. In the present study, we evaluated the effect of non-Newtonian blood properties on hemodynamics in the idealized 90[Formula: see text]-bifurcation model, using Newtonian and non-Newtonian fluids and different flow rate ratios between the parent artery and its branch. The proposed Local viscosity model was employed for high-precision representation of blood viscosity changes. The highest velocity differences were observed at zones with slow recirculating flow. During the systolic peak the average difference was 17–22%, whereas at the end of diastole the difference increased to 27–60% depending on the flow rate ratio. The main changes in the viscosity distribution were observed distal to the flow separation point, where the non-Newtonian fluid model produced 2.5 times higher viscosity. A presence of such high viscosity region substantially affected the size of the flow recirculation zone. The observed differences showed that non-Newtonian blood behavior had a significant effect on hemodynamic parameters and should be considered in the future studies of blood flow in cerebral arteries.
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Фролов et al. (2018) studied Cerebral artery hemodynamics. Non-Newtonian fluid model (Local viscosity model) vs. Newtonian fluid model was evaluated on Hemodynamics (velocity differences and viscosity distribution). Non-Newtonian fluid models produced 2.5 times higher viscosity distal to the flow separation point and average velocity differences of 17-22% at systolic peak compared to Newtonian models.
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