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optimizing air flow in operating rooms to reduce the risk of airborne infections. | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 15 تیر 1405 اصل مقاله (1.49 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.35039.5233 | ||
| نویسنده | ||
| Koorosh Aminian* | ||
| Department of Mechanical Engineering, Shahid Bahonar University of Kerman , Kerman Iran | ||
| تاریخ دریافت: 26 خرداد 1403، تاریخ پذیرش: 30 شهریور 1403 | ||
| چکیده | ||
| This study examines the impact of airflow patterns, resulting from various directions of fan coil air outlets, on the distribution of pollutant particles in an operating room. The sample space was modeled using the Eulerian-Lagrangian method and validated against existing data. The turbulent airflow in a 49-cubic-meter operating room, equipped with a floor-mounted fan coil, was simulated using Computational Fluid Dynamics (CFD) with OpenFOAM and the BuoyantBoussinesqPimpleFoam solver. The room's airflow was measured at 4160 cubic meters per hour for incoming air and 4056 cubic meters per hour for outgoing air, with 5 exhaust vents and 4 supply vents. Results indicated that pollutant concentrations decreased with increasing height. At 1.2 meters above the floor, the concentration of suspended particles was approximately 20% lower than at floor level. Smaller particles, less than 5 microns, were less likely to settle due to reduced gravitational forces and were more effectively removed by the ventilation system. This system successfully eliminated over 85% of airborne pollutants from the operating room, demonstrating its effectiveness in maintaining a clean and safe environment. | ||
| کلیدواژهها | ||
| air flow؛ operating rooms؛ risk of airborne infections؛ Computational Fluid Dynamics | ||
| مراجع | ||
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