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Artificial compressibility, characteristics-based schemes for variable-density, incompressible, multispecies flows: Part II. Multigrid implementation and numerical tests

机译:人工可压缩性,基于特征的可变密度,不可压缩的多物种流方案:第二部分。多网格实施和数值测试

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摘要

The paper presents an investigation of the accuracy and efficiency of artificial compressibility, characteristics-based(CB) schemes for variable-density incompressible flows. The CB schemes have been implemented in conjunction with amultigrid method for accelerating numerical convergence and a fourth-order, explicit Runge–Kutta method for the integration of the governing equations in time. The implementation of the CB schemes is obtained in conjunction with first-, second- and third-order interpolation formulas for calculating the variables at the cell faces of the computational volume. The accuracy and efficiency of the schemes are examined against analytical and experimental results for difusionbroadening in two- and three-dimensional microfluidic channels, a problem that has motivated the development of the present methods. Moreover, unsteady, inviscid simulations have been performed for variable-density mixing layer.The computations revealed that accuracy and efficiency depend on the CB scheme design. The best multigrid convergence rates were exhibited by the conservative CB scheme, which is obtained by the fully conservative formulation of the variable-density, incompressible equations.
机译:本文提出了一种针对可变密度不可压缩流的基于特征的人工可压缩性方案的准确性和效率的研究。 CB方案已与用于加速数值收敛的多网格方法和用于及时整合控制方程的四阶显式Runge-Kutta方法结合起来实施。 CB方案的实现是结合一阶,二阶和三阶插值公式获得的,这些公式用于计算计算量单元格面的变量。针对在二维和三维微流体通道中扩散扩散的分析和实验结果,检验了该方案的准确性和效率,这一问题促使了本方法的发展。此外,对可变密度混合层进行了不稳定的无粘性模拟,计算结果表明精度和效率取决于CB方案设计。保守的CB方案表现出最佳的多网格收敛速度,该方案是通过完全保守的可变密度不可压缩方程式获得的。

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  • 作者单位
  • 年度 2005
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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