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首页> 外文期刊>Applied Mathematical Modelling >Calculating particle-to-wall distances in unstructured computational fluid dynamic models
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Calculating particle-to-wall distances in unstructured computational fluid dynamic models

机译：在非结构化计算流体动力学模型中计算颗粒到壁的距离

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摘要

Knowledge of particle deposition is relevant in biomedical engineering situations such as computational modeling of aerosols in the lungs and blood particles in diseased arteries. To determine particle deposition distributions, one must track particles through the flow field, and compute each particle's distance to the wall as it approaches the geometric surface. For complex geometries, unstructured tetrahedral grids are a powerful tool for discretizing the model, but they complicate the particle-to-wall distance calculation, especially when non-linear mesh elements are used. In this paper, a general algorithm for finding minimum particle-to-wall distances in complex geometries constructed from unstructured tetrahedral grids will be presented. The algorithm is validated with a three-dimensional 90° bend geometry, and a comparison in accuracy is made between the use of linear and quadratic tetrahedral elements to calculate the minimum particle-to-wall distance.
机译：颗粒沉积的知识与生物医学工程情况有关，例如肺部气溶胶和患病动脉中血液颗粒的计算模型。为了确定颗粒的沉积分布，必须跟踪整个流场中的颗粒，并计算每个颗粒在靠近几何表面时与壁的距离。对于复杂的几何形状，非结构化的四面体网格是离散化模型的强大工具，但它们使粒子到壁的距离计算复杂化，尤其是在使用非线性网格元素时。在本文中，将提出一种通用算法，该算法可在由非结构化四面体网格构成的复杂几何形状中找到最小的粒子到壁的距离。该算法已通过90°三维弯曲几何体进行了验证，并在使用线性和二次四面体元素计算最小粒子到壁距离之间进行了精度比较。

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