TY - JFULL AU - M.V. Shyla and K.B. Naidu PY - 2013/2/ TI - A Computational Fluid Dynamic Model of Human Sniffing T2 - International Journal of Mathematical and Computational Sciences SP - 160 EP - 165 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/17287 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 73, 2013 N2 - The objective of this paper is to develop a computational model of human nasal cavity from computed tomography (CT) scans using MIMICS software. Computational fluid dynamic techniques were employed to understand nasal airflow. Gambit and Fluent software was used to perform CFD simulation. Velocity profiles, iteration plots, pressure distribution, streamline and pathline patterns for steady, laminar airflow inside the human nasal cavity of healthy and also infected persons are presented in detail. The implications for olfaction are visualized. Results are validated with the available numerical and experimental data. The graphs reveal that airflow varies with different anatomical nasal structures and only fraction of the inspired air reaches the olfactory region. The Deviations in the results suggest that the treatment of infected volunteers will improve the olfactory function. ER -