Graduate School of Engineering, Chiba University, Chiba, Japan.
Department of Mechanical Engineering, Kyushu University, Fukuoka, Japan.
Comput Methods Biomech Biomed Engin. 2021 Mar;24(4):459-466. doi: 10.1080/10255842.2020.1836166. Epub 2020 Oct 23.
The nasal airway is an extremely complex structure, therefore grid generation for numerical prediction of airflow in the nasal cavity is time-consuming. This paper describes the development of a voxel-based model with a Cartesian structured grid, which is characterized by robust and automatic grid generation, and the simulation of the airflow and air-conditioning in an individual human nasal airway. Computed tomography images of a healthy adult nose were used to reconstruct a virtual three-dimensional model of the nasal airway. Simulations of quiet restful inspiratory flow were then performed using a Neumann boundary condition for the energy equation to adequately resolve the flow and heat transfer. General agreements of airflow patterns, which were a high-speed jet posterior to the nasal valve and recirculating flow that occupied the anterior part of the upper cavity, and temperature distributions of the airflow and septum wall were confirmed by comparing measurements with numerical simulation results.
鼻腔气道是一个极其复杂的结构，因此对鼻腔气流进行数值预测的网格生成非常耗时。本文描述了一种基于体素的模型与笛卡尔结构网格的发展，其特点是生成网格稳健且自动，能够模拟个体人类鼻腔气道中的气流和空调。使用健康成年人鼻子的计算机断层扫描图像来重建鼻腔气道的虚拟三维模型。然后使用能量方程的 Neumann 边界条件对安静休息时的吸气流动进行模拟，以充分解决流动和传热问题。通过将测量结果与数值模拟结果进行比较，证实了气流模式的总体一致性，即在鼻阀后面是高速射流，在上腔的前部有回流，并且气流和鼻中隔壁的温度分布一致。
