AAAR 35th Annual Conference October 17 - October 21, 2016 Oregon Convention Center Portland, Oregon, USA
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Particle Resuspension from Substrates: Analysis of Time-Dependence on Removal Rates
BABAK NASR, Jing Qian, Meilu He, Jana Kesavan, Minyard Morgan, Andrea R. Ferro, Goodarz Ahmadi, Suresh Dhaniyala, Clarkson University
Abstract Number: 554 Working Group: Aerosol Physics
Abstract Airflow-driven particle resuspension from surfaces plays an important role in indoor and outdoor air quality. The characteristics of particle removal from a substrate depend on particle size and morphology, substrate roughness, relative humidity, and flow field near the wall. The influence of these factors on the particle resuspension rates has been considered to varying extents in existing models. The current models, however, do not account for the effect of time on particle resuspension. In most resuspension processes, particles experience unsteady or intermittent airflow, and it is critical to consider time-dependence of particle removal. In this study, a semi-empirical model is described for time-dependent particle removal from surfaces exposed to turbulent flow. The model is derived based on a combination of experimental data reported in literature and those obtained in our lab. The model predictions are tested for a case of particle removal with a pulsed-jet impinging flow. For this case, firstly, computational fluid dynamics (CFD) simulations are used to obtain near-wall flow characteristics and then our semi-empirical model of time-dependent particle removal characteristics is used to predict the spatial characteristics of particle removal over a substrate. The removal characteristics are then compared to experimental results. In our presentation, we will describe the model development approach and the experimental procedure to validate the developed model.
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