An efficient approach for blood transport in complex interlinked micro-circulatory network

The flow domain of the micro-circulatory network provides additional flow resistance to the blood due to the additional friction forces associated with the fluid interface and the solid–fluid interface. Fahraeus–Lindqvist effect facilitates the blood flow by partitioning it into two layers, plasma and red blood cell, that minimize the flow resistance. In this article, a lumped parameter-based approach is interfaced with the theory of dynamical systems to understand the comprehensive blood flow mechanism in the complex micro-circulatory network in terms of quantified resistance, where the blood obeys non-Newtonian characteristics. The dynamic flow resistance signifies the importance of fluid rheology and its dependence on the network topology. It is observed that hematocrit distribution plays a vital role in flow dynamics and may cause flow instability. The advantage of this model relies on the fact that the equivalent network resistance can act as ubiquitous parameters to understand complex flow dynamics. The results demonstrated that the micro-circulatory network could possibly help to handle the clinical implacability and computational efficiency to further improve the medical diagnostic efficacy.