Discrete phase model of blood flow in a roughness microchannel simulating the formation of pseudointima

Abstract

Purpose: The goal of the present study was the development of discrete phase model to simulate the phenomenon of backfilling a morphologically complex surface by red blood cells (RBCs) in a flow microchannel and to anticipate the conditions of forming a pseudointima. The objective of the experimental studies that inspired the development of the simulation was to create a surface that stimulates the formation of the pseudointima layer. Methods: The finite volume method (FVM) and discrete particle method (DPM) were applied to develop the target model. In addition, a mixture model and a roughness model of bottom layer were tested in the present study to show their influence on simulation the phenomenon of backfilling a morphologically complex surface by RBCs in a flow microchannel. Results: Numerical models were developed including: a) FVM models to compare the effect of applying boundary conditions with/without roughness and cubes, as well as the analysis of their influence on blood velocity and shear stress; b) mixture models to compare the effect of applying different boundary conditions and cubes on computed results; c) DPM models to compare the effect of applying and not applying roughness as a boundary condition; d) DPM models with a morphologically complex surface and RBCs collisions to present RBCs concentration, velocity and time distributions during flow in a channel. Conclusions: The analysis carried out for the developed numerical models indicates that DPM model with cubes computes the best results. It also shows the backfilling of a morphologically complex surface of the bottom microchannel with RBCs.

Investigation of effect of the profile of screw flight on chocolate flow in 3D printing using an improved lattice Boltzmann method

“…When conducting the flow dynamic analysis, the non‐Newtonian behavior will prohibit commercial software, such as fluent (Ansys Inc., Canonsburg, PA, USA). If the common software is used for the analysis, secondary development is essential, whereas the process is difficult, uncertain and error‐prone 12‐14 . The lattice Boltzmann method (LBM) achieves the flow dynamic analysis with the programming.…”

“…If the common software is used for the analysis, secondary development is essential, whereas the process is difficult, uncertain and error-prone. [12][13][14] The lattice Boltzmann method (LBM) achieves the flow dynamic analysis with the programming. The physical process and the related mathematical functions are easy to understand, and complex integration or a differential process is avoided.…”