Tuesday 14 January 2014

Use of Computational Fluid Dynamics to Predict Airflow and Contamination Concentration Profiles Within Laboratory Floor Plan Environment

Eliminating environmental or other airborne contaminants in medical, biological research and production facilities is critical to the success of their mission (Sansone & Losikoff, 1977; Walters & Ryan, 2001). In situ measurement of environmental conditions creates a potential for inhalation hazards. Use of computational fluid dynamics (CFD), allows for a non-intrusive way of determining the room air conditions without concern for operator safety. The goal of this study is to use CFD computer modeling to study a pharmaceutical clean-room environment in which there has been an accidental introduction of aerosolized contaminant. The concentration and distribution of the contaminant is determined throughout the room for a range of conditions, by computation using three mathematical models and also experimentally field deter-mined. A comparison of best fit shows High Reynolds number k-İ model calculations are most practical from a computational and prediction standpoint.

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