A Computational Fluid Dynamic Model of Human Sniffing

World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering Pub Date : 2013-10-05 DOI:10.5281/ZENODO.1088752

M. Shyla, K. Naidu

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引用次数: 1

Abstract

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. Keywords—CFD techniques, Finite Volume Method, Fluid dynamic sniffing, Human nasal cavity.

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人类嗅探的计算流体动力学模型

本文的目的是利用MIMICS软件从计算机断层扫描(CT)中开发一个人类鼻腔的计算模型。采用计算流体力学技术了解鼻腔气流。采用Gambit和Fluent软件进行CFD仿真。详细介绍了健康和感染人群鼻腔内稳定层流的速度分布、迭代图、压力分布、流线和路径模式。对嗅觉的影响是可视化的。结果与现有的数值和实验数据进行了验证。图表显示气流随鼻解剖结构的不同而变化，只有一小部分吸入的空气到达嗅觉区。结果的偏差表明，对受感染志愿者的治疗将改善嗅觉功能。关键词:cfd技术，有限体积法，流体动力学嗅探，人鼻腔

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World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering

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