用k-ε RANS模型实际模拟高雷诺数流动的浸入边界法

IF 0.7 Q4 MECHANICS
H. Yao, T. Nambu, Y. Mizobuchi
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引用次数: 1

摘要

一个燃烧模拟软件工具,“HINOCA”,已开发用于汽车发动机分析。HINOCA基于完全可压缩的Navier-Stokes方程,即雷诺平均(RANS)或空间滤波(LES),并采用笛卡尔网格和浸入边界(IB)方法来降低网格生成成本。本文针对k-ε模型的流动模拟,提出了一种结合壁面函数的鲁棒可靠的IB方法。该方法的一个主要方面是不同的IB细胞信息被用于流体-IB细胞界面的无粘和粘性通量评估。为了改进壁面剪切应力的评估,将IB细胞边界上的剪切应力转化为作用于相邻流体细胞的体力。改进了ε-方程和k-方程源项的计算方法,以便较好地再现平板上湍流边界层的发展过程。通过二维零压力梯度平板问题验证了这些改进的效果。为了提高IB方法的质量守恒性,对IB细胞定义了多个几何参数;即在IB细胞中心浸入不同的图像点信息,以评估每个细胞界面上的无粘通量。通过稳态流动台架问题的评估表明,该方法极大地提高了模拟的质量守恒性,并且可以用粗网格再现LES得到的流结构,网格细得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An immersed boundary method for practical simulations of high-Reynolds number flows by k-ε RANS models
A combustion simulation software tool, “HINOCA”, has been developed for automotive engine analysis. HINOCA is based on fully compressible Navier-Stokes equations, which are Reynolds-averaged (RANS) or spatially-filtered (LES), and employs the Cartesian grid and immersed boundary (IB) methods to reduce the mesh generation cost. In the present paper, focusing on flow simulations using k-ε models, a robust and reliable IB method coupled with wall functions is proposed. One major aspect of the method is that different IB cell information is employed for inviscid and viscous flux evaluations at fluid-IB cell interfaces. To improve the evaluation of wall shear stress, the shear stresses on the boundaries of an IB cell are transformed into a body force acting on the adjacent fluid cell. The computational method for ε-equation and the source terms of the k-equation near IB cells are modified so that the development of the turbulent boundary layer on a flat plate is well reproduced. The effects of these modifications are validated by the 2D Zero Pressure Gradient Flat Plate problem. To improve the mass conservation property of the IB method, multiple geometric parameters are defined for IB cells; that is, different image point information is immersed on IB cell centers for evaluating the inviscid flux on each cell interface. Evaluation with the Steady State Flow Bench problem shows that the proposed method drastically improves the mass conservation property of simulations and is able with a coarse mesh to reproduce flow structures obtained by LES with a much finer mesh.
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来源期刊
CiteScore
1.00
自引率
12.50%
发文量
2
期刊介绍: Journal of Fluid Science and Technology (JFST) is an international journal published by the Fluids Engineering Division in the Japan Society of Mechanical Engineers (JSME). JSME had been publishing Bulletin of the JSME (1958-1986) and JSME International Journal (1987-2006) by the continuous volume numbers. Considering the recent circumstances of the academic journals in the field of mechanical engineering, JSME reorganized the journal editorial system. Namely, JSME discontinued former International Journals and projected new publications from the divisions belonging to JSME. The Fluids Engineering Division acted quickly among all divisions and launched the premiere issue of JFST in January 2006. JFST aims at contributing to the development of fluid engineering by publishing superior papers of the scientific and technological studies in this field. The editorial committee will make all efforts for promoting strictly fair and speedy review for submitted articles. All JFST papers will be available for free at the website of J-STAGE (http://www.i-product.biz/jsme/eng/), which is hosted by Japan Science and Technology Agency (JST). Thus papers can be accessed worldwide by lead scientists and engineers. In addition, authors can express their results variedly by high-quality color drawings and pictures. JFST invites the submission of original papers on wide variety of fields related to fluid mechanics and fluid engineering. The topics to be treated should be corresponding to the following keywords of the Fluids Engineering Division of the JSME. Basic keywords include: turbulent flow; multiphase flow; non-Newtonian fluids; functional fluids; quantum and molecular dynamics; wave; acoustics; vibration; free surface flows; cavitation; fluid machinery; computational fluid dynamics (CFD); experimental fluid dynamics (EFD); Bio-fluid.
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