首页> 外文会议>ASME Fluids Engineering Division summer conference;FEDSM2009 >FIBROUS AND SPHERICAL PARTICLE TRANSPORT AND DEPOSITION IN THE HUMAN NASAL AIRWAY: A COMPUTATIONAL FLUID DYNAMICS MODEL
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FIBROUS AND SPHERICAL PARTICLE TRANSPORT AND DEPOSITION IN THE HUMAN NASAL AIRWAY: A COMPUTATIONAL FLUID DYNAMICS MODEL

机译:人体鼻气中纤维状和球状颗粒的运输和沉积:计算流体动力学模型

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As the interface between the human respiratory system and the environment, the nose plays many vital roles. Not the least of which is filter. Resulting from numerous natural and anthropogenic processes, paniculate matter becomes airborne. Should particulate matter reach the lower portions of the respiratory tract, a host of maladies may occur. In an attempt to further understand the physics behind particulate matter transitioning from the environment into humans a computational model has been developed to predict the efficiency with which human noses can remove particles before they reach the lungs. To this end computational fluid dynamics and Lagrangian particle tracking simulations have been run to gather information on the deposition behavior of both fibrous and spherical particles. MRI data was collected from the left and right passages of a 181.6 cm, 120.2 kg, human male. The two passages were constructed into separate computational volumes consisting of approximately 950,000 unstructured tetrahedral cells each. A steady laminar flow model was used to simulate the inhalation portion of a human breathing cycle. Volumetric flow rates were varied to represent the full range of human nasal breathing. General agreement was shared quantitatively and qualitatively with previously published in vitro studies on other nasal models. Lagrangian particle tracking was performed for varying sizes of fibrous and spherical particles. Deposition efficiency was shown to increase with fiber aspect ratio, particle size, and flow rate. Anatomy was also identified as effecting deposition.
机译:作为人类呼吸系统与环境之间的界面,鼻子扮演着至关重要的角色。最重要的是过滤器。由于许多自然和人为的过程,使颗粒物质在空气中传播。如果颗粒物到达呼吸道的下部,则可能发生许多疾病。为了进一步理解颗粒物从环境过渡到人类的物理原理,人们开发了一种计算模型来预测人的鼻子在进入肺部之前可以清除颗粒的效率。为此,已经进行了计算流体动力学和拉格朗日粒子跟踪模拟,以收集有关纤维状和球形粒子沉积行为的信息。 MRI数据是从181.6 cm,120.2 kg的男性雄性动物的左和右通道中收集的。将两个通道构建为单独的计算量,每个计算量包含大约950,000个非结构化四面体单元。稳定的层流模型用于模拟人类呼吸周期的吸入部分。体积流率变化以代表人类鼻呼吸的整个范围。与先前发表的其他鼻腔模型的体外研究在数量和质量上达成了共识。拉格朗日粒子跟踪是针对不同大小的纤维和球形粒子执行的。沉积效率显示出随着纤维长径比,粒径和流速的增加而增加。解剖学也被确定为影响沉积。

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