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Pressure-based algorithms for multifluid flow at all speeds - Part I: Mass conservation formulation

机译:基于压力的全速多流体流动算法-第一部分:质量守恒公式

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摘要

In this article, seven segregated single-fluid, pressure-based algorithms are extended to predict multifluid flow at all speeds. The extended algorithms form part of the mass conservation-based algorithms (MCBA) group, in which the pressure-correction equation is derived from overall mass conservation. The performance and accuracy of these algorithms are assessed by solving a variety of two-dimensional two-phase flow problems in the subsonic, transsonic, and supersonic regimes. Solutions are generated for several grid densities using the single-grid (SG), the prolongation-grid (PG), and the full nonlinear multigrid (FMG) methods, and their effects on convergence behavior are studied. The main outcomes of this study are clear demonstrations of. (1) the capability of all MCBA algorithms to deal with multifluid flow situations; (2) the ability of the FMG method to tackle, the added nonlinearity of multifluid flows; (3) and the capacity of the MCBA algorithms to predict multifluid flow at all speeds. Moreover, results indicate that the performances of SIMPLE, SIMPLEC, and SIMPLEX are very close. The PRIME algorithm is the most expensive, due to the explicit treatment of the fluidic momentum equations. The PISO algorithm is generally more expensive than SIMPLE. In terms of CPU effort, SIMPLEM stands between PRIME and SIMPLE. For all algorithms, use of the PG and FMG methods speeds up acceleration, with the FMG method being more efficient at accelerating the convergence rate, for the problems solved on the densest grid used, over the SG method, by a factor reaching a value as high as 6.55.
机译:在本文中,扩展了七种基于压力的分离单流体算法,以预测所有速度下的多流体流量。扩展算法构成了基于质量守恒的算法(MCBA)组的一部分,其中压力校正方程式是从总体质量守恒得出的。通过解决亚音速,跨音速和超音速状态下的各种二维两相流问题,可以评估这些算法的性能和准确性。使用单网格(SG),延长网格(PG)和完全非线性多网格(FMG)方法生成了几种网格密度的解,并研究了它们对收敛行为的影响。这项研究的主要成果是明确的证明。 (1)所有MCBA算法处理多流体流动情况的能力; (2)FMG方法处理多流体流动的附加非线性的能力; (3)和MCBA算法预测各种速度的多流体流动的能力。此外,结果表明SIMPLE,SIMPLEC和SIMPLEX的性能非常接近。由于对流体动量方程的显式处理,PRIME算法最昂贵。 PISO算法通常比SIMPLE昂贵。在CPU工作量方面,SIMPLEM位于PRIME和SIMPLE之间。对于所有算法,使用PG和FMG方法可加速加速,对于SG方法而言,对于所使用的最密集网格上所解决的问题,FMG方法在加速收敛速度方面更为有效,其系数达到了高达6.55。

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