应用致密多孔介质模型数值推导晶格结构的阻力系数

IF 3 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Kyle Pittman , Jacob Riglin , Jay Chen , Cesar Dominguez , Marvin Davis , Rami Batrice
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引用次数: 0

摘要

增材制造允许探索各种几何形状,以达到特定的工程标准。晶格是一种具有独特性质的几何结构,包括周期性重复的结构,根据Darcy-Forchheimer方程,流动可以通过它们被表示为多孔介质。这些方程的系数通常是通过实验推导出来的,但这项工作证明了用CFD数值推导它们的能力。利用Ansys Fluent软件采用三维稳态reynolds -average Navier-Stokes和k-ω剪切应力输运湍流模型进行了模拟。研究了三种晶格几何形状,并推导了阻力系数。通过外部公布的类似几何形状的数据验证了该方法的有效性,并使用网格收敛指数方法计算了所有模拟的网格收敛性。壁面粗糙度被证明对结果有不可忽略的影响,并且粗糙度值被考虑为主要焦点八面体几何,其中光滑壁面和粗糙壁面系数都得到了推导。在1.0 [m/s]条件下,八面体孔隙率系数为2.89×106和2.90×106 [1/(Pa*m*s)],惯性阻力系数为6.37×101和5.44×101 [m2/kg],光滑壁面和粗糙壁面的最大压降分别为5116.7 [Pa]和4429.5 [Pa]。导出的数值方法能够快速探索和优化新的晶格设计,以适应不同的工程应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying a compact porous media model to numerically derive resistance coefficients for lattice structures
Additive Manufacturing allows for exploring various geometries to achieve specific engineering criteria. Lattices are one geometry with unique properties, including being periodically repeating structures which allow flow through them to be represented as a porous media according to Darcy-Forchheimer equations. These equation’s coefficients are generally experimentally derived, but this work demonstrates the ability to numerically derive them with CFD. Simulations were performed using three-dimensional stead state Reynolds-averaged Navier-Stokes with a k-ω Shear Stress Transport turbulence model using Ansys Fluent. Three lattice geometries were investigated and drag coefficients were derived. The method was validated against externally published data for similar geometries demonstrating strong agreement, and grid convergence for all simulations was calculated with a Grid Convergence Index method. Wall roughness is demonstrated to have a non-negligible impact on results and roughness values are considered for the primary focus Octahedral geometry where both smooth wall and rough wall coefficients were derived. The porosity coefficients for the Octahedral geometry at 1.0 [m/s] were found to be 2.89×106 and 2.90×106 [1/(Pa*m*s)] for the permeability coefficients, 6.37×101 and 5.44×101 [m2/kg] for the inertial resistance coefficients, and with a max pressure drop of 5116.7 [Pa] and 4429.5 [Pa] for the smooth walls and rough walls, respectively. The derived numerical method enables rapid exploration and optimization of new lattice designs for diverse engineering applications.
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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