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Comparison of Voxel‐Based and Mesh‐Based CFD Models for Aerosol Deposition on Complex Fibrous Filters
Author(s) -
Hoch Dennis,
Azimian Mehdi,
Baumann André,
Behringer Jens,
Niessner Jennifer
Publication year - 2020
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.202000318
Subject(s) - computational fluid dynamics , aerosol , voxel , pressure drop , computational science , filtration (mathematics) , eulerian path , computer science , filter (signal processing) , code (set theory) , mechanics , simulation , algorithm , mathematics , lagrangian , physics , artificial intelligence , computer vision , meteorology , statistics , set (abstract data type) , programming language
Abstract Aerosols represent a health risk since small droplets may enter the respiratory system and cause lung cancer, allergies, or diseases like COVID‐19. In this work, an Eulerian‐Lagrangian computational fluid dynamics model is used based on a voxel‐based (GeoDict) and a mesh‐based (StarCCM+) code. For evaluating accuracy and computational time of both models, fractional filtration efficiency and pressure drop are compared to an empirical solution for a single fiber and to experimental results for a complex 3D fibrous filter material. Simulation results of both methods are in good agreement with empirical and measurement results although the complex geometry of the fibers is captured more accurately by the unstructured mesh using the same resolution. Computing times are much faster using the voxel‐based code.