With the aim of providing an accurate investigation of the physical mechanism of blood particle transport within curved microchannels in inertial microfluidics regimes, we present a parametric study that exploits fluid- and particle-resolved simulations. The numerical framework is based on a lattice- Boltzmann method for incompressible flows, coupled with a Finite Element model for soft particles with different mechanical properties by means of an Immersed-Boundary technique. The study is performed in spiral microchannels spanning the geometrical, flow and structure parameters in order to evaluate their effects on the resulting particle sorting.

INERTIAL MICROFLUIDICS FOR BLOOD PARTICLE SORTING IN SPIRAL MICRODEVICES / De Marinis, Dario; Mantegazza, Alberto; De Tullio, Marco Donato. - STAMPA. - II:(2024), pp. 342-345. (Intervento presentato al convegno 8th International Conference on Computational & Mathematical Biomedical Engineering (CMBE2024) tenutosi a Arlington, Virginia, Stati Uniti nel 24-26/06/2024).

INERTIAL MICROFLUIDICS FOR BLOOD PARTICLE SORTING IN SPIRAL MICRODEVICES

Dario De Marinis
;
Alberto Mantegazza;Marco Donato de Tullio
2024-01-01

Abstract

With the aim of providing an accurate investigation of the physical mechanism of blood particle transport within curved microchannels in inertial microfluidics regimes, we present a parametric study that exploits fluid- and particle-resolved simulations. The numerical framework is based on a lattice- Boltzmann method for incompressible flows, coupled with a Finite Element model for soft particles with different mechanical properties by means of an Immersed-Boundary technique. The study is performed in spiral microchannels spanning the geometrical, flow and structure parameters in order to evaluate their effects on the resulting particle sorting.
2024
8th International Conference on Computational & Mathematical Biomedical Engineering (CMBE2024)
978-0-9562914-7-9
INERTIAL MICROFLUIDICS FOR BLOOD PARTICLE SORTING IN SPIRAL MICRODEVICES / De Marinis, Dario; Mantegazza, Alberto; De Tullio, Marco Donato. - STAMPA. - II:(2024), pp. 342-345. (Intervento presentato al convegno 8th International Conference on Computational & Mathematical Biomedical Engineering (CMBE2024) tenutosi a Arlington, Virginia, Stati Uniti nel 24-26/06/2024).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/272320
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