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Dtic Ad1004345%3a Modeling Aerosol Particle Deposition On A Person Using Computational Fluid Dynamics by Defense Technical Information Center

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1DTIC AD1004345: Modeling Aerosol Particle Deposition On A Person Using Computational Fluid Dynamics

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The Unsteady Reynolds-Averaged Navier Stokes (URANS) approach applied in conjunction with the Eddy Interaction Model (EIM) is used here to conduct numerical simulations of aerosol particle deposition on the human form. Numerical simulation of a two-phase turbulent impinging jet flow is studied to validate the proposed methodology. The numerical deposition results are compared with some relevant experimental measurements. The results of this validation show that the standard EIM with turbulent tracking tends to over predict the deposition efficiency. Greatly improved results were achieved by using a near-wall correction with the EIM. After the validation of the methodology, a number of detailed numerical simulations of aerosol particle deposition on a human form were conducted. Simulations were conducted for 13 aerosol particle sizes ranging from 0.1 to 40 micrometers. For each of these particle sizes, three orientations of the human form relative to the incident wind direction were simulated (viz., with the human form oriented 0, 90 and 180 degrees with respect to the direction of the incident wind). High-resolution isopleths of the deposition probability on the surface of the human form are presented. To provide the quantitative information for future applications by researchers, extensive data files have been produced, providing information on the cell area for each triangle used in the tessellation of the surface of the human form, the associated body part associated with this triangular cell, and the computed deposition probability associated the triangular cell.

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  • Title: ➤  DTIC AD1004345: Modeling Aerosol Particle Deposition On A Person Using Computational Fluid Dynamics
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  • Language: English

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