Computational fluid dynamics (CFD) simulation of a newly designed passive particle sampler.
In this work a series of computational fluid dynamics (CFD) simulations were performed to predict the deposition of particles on a newly designed passive dry deposition (Pas-DD) sampler. The sampler uses a parallel plate design and a conventional polyurethane foam (PUF) disk as the deposition surface. The deposition of particles with sizes between 0.5 and 10 μm was investigated for two different geometries of the Pas-DD sampler for different wind speeds and various angles of attack. To evaluate the mean flow field, the k-ɛ turbulence model was used and turbulent fluctuating velocities were generated using the discrete random walk (DRW) model. The CFD software ANSYS-FLUENT was used for performing the numerical simulations. It was found that the deposition velocity increased with particle size or wind speed. The modeled deposition velocities were in general agreement with the experimental measurements and they increased when flow entered the sampler with a non-zero angle of attack. The particle-size dependent deposition velocity was also dependent on the geometry of the leading edge of the sampler; deposition velocities were more dependent on particle size and wind speeds for the sampler without the bend in the leading edge of the deposition plate, compared to a flat plate design. Foam roughness was also found to have a small impact on particle deposition.
Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY, USA.
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Sajjadi
Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY, USA.
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Tavakoli
Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY, USA.
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Ahmadi
Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY, USA.
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Dhaniyala
Air Quality Processes Research Section, Environment and Climate Change ​Canada, Toronto, ON, M3H 5T4, Canada.
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Harner
Department of Civil & Environmental Engineering, Clarkson University, Potsdam, NY, USA. Electronic address: holsen@clarkson.edu.
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Holsen
D003198:Computer Simulation; D004784:Environmental Monitoring / Q000295:instrumentation*; D057446:Hydrodynamics; D008962:Models, Theoretical; D010316:Particle Size; D052638:Particulate Matter / Q000302:isolation & purification*; D012984:Software; D014919:Wind
D052638:Particulate Matter
ANSYS-FLUENT; Deposition velocity; Particle tracking; Pas-DD