美国食品药品监督管理局理想化医疗器械的大涡模拟
Large Eddy Simulation of FDA's Idealized Medical Device.
作者信息
Delorme Yann T, Anupindi Kameswararao, Frankel Steven H
机构信息
School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, 47907.
出版信息
Cardiovasc Eng Technol. 2013 Dec 1;4(4). doi: 10.1007/s13239-013-0161-7.
A hybrid large eddy simulation (LES) and immersed boundary method (IBM) computational approach is used to make quantitative predictions of flow field statistics within the Food and Drug Administration's (FDA) idealized medical device. An in-house code is used, hereafter ( ), that combines high-order finite-difference schemes on structured staggered Cartesian grids with an IBM to facilitate flow over or through complex stationary or rotating geometries and employs a subgrid-scale (SGS) turbulence model that more naturally handles transitional flows [2]. Predictions of velocity and wall shear stress statistics are compared with previously published experimental measurements from Hariharan [6] for the four Reynolds numbers considered.
采用一种混合大涡模拟（LES）和浸入边界法（IBM）的计算方法，对美国食品药品监督管理局（FDA）理想化医疗器械内的流场统计量进行定量预测。使用了一个内部代码（此后称为（ ）），该代码将结构化交错笛卡尔网格上的高阶有限差分格式与IBM相结合，以促进流体在复杂的静止或旋转几何形状上流动或穿过，并采用了一种亚网格尺度（SGS）湍流模型，该模型能更自然地处理过渡流[2]。将速度和壁面剪应力统计量的预测结果与Hariharan [6]之前发表的针对所考虑的四个雷诺数的实验测量结果进行了比较。
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