A Diffusive MPPIC Solver in OpenFOAM for Microfluidic Molecular Communication

This paper proposes a novel Diffusive Multi-Phase Particle-In-Cell (DMPPIC) solver that incorporates the random walk behavior of particles, improving the realism of the Computational Fluid Dynamics (CFD) simulations. Built upon the Multi-Phase Particle-In-Cell (MPPIC) solver from the OpenFOAM software suite for Computational Fluid Dynamics (CFD) simulation, our proposed solver, the Diffusive Multi-Phase Particle-In-Cell (DMPPIC) solver, aims to more accurately model complex scenarios in the mixed and dispersive regime, e.g., in human capillaries. A comparative analysis of our enhanced solver and the original solver demonstrates improvements in simulation accuracy.

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Publication Details

Published
2024-10-20
DOI
https://doi.org/10.1145/3686015.3689420
Citations
2
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
0.37
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article

A Diffusive MPPIC Solver in OpenFOAM for Microfluidic Molecular Communication

Pengjie Zhou, Pit Hofmann, Juan A. Cabrera, Frank H. P. Fitzek et al.
2 citations
Molecular Communication and Nanonetworks
0.37
article

A Diffusive MPPIC Solver in OpenFOAM for Microfluidic Molecular Communication

Pengjie Zhou, Pit Hofmann, Juan A. Cabrera, Frank H. P. Fitzek, Ruifeng Zheng
article en
2 citations

Abstract

This paper proposes a novel Diffusive Multi-Phase Particle-In-Cell (DMPPIC) solver that incorporates the random walk behavior of particles, improving the realism of the Computational Fluid Dynamics (CFD) simulations. Built upon the Multi-Phase Particle-In-Cell (MPPIC) solver from the OpenFOAM software suite for Computational Fluid Dynamics (CFD) simulation, our proposed solver, the Diffusive Multi-Phase Particle-In-Cell (DMPPIC) solver, aims to more accurately model complex scenarios in the mixed and dispersive regime, e.g., in human capillaries. A comparative analysis of our enhanced solver and the original solver demonstrates improvements in simulation accuracy.

Deutsche Telekom (Germany) (DE), Technische Universität Dresden (DE)
Affordable and clean energy
Openalex Percentile: Top 43%
Molecular Communication and Nanonetworks
0.37
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