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A Newton-Krylov finite volume algorithm for the power-law non-Newtonian fluid flow using pseudo-compressibility technique

机译:幂律非牛顿流体流动的伪压缩技术的牛顿-克里洛夫有限体积算法

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摘要

An implicit Newton-Krylov finite volume algorithm has been developed for efficient steady-state computation of the power-law non-Newtonian fluid flows. The pseudo-compressibility technique is used for the coupling of continuity and momentum equations. The spatial discretization is central (second-order) for both convective and diffusive terms and the accuracy of the solution is verified. The nine block diagonal Jacobian matrix (needed for implicit formulation) is computed directly through the flux differentiation. Five-diagonal and three-diagonal block matrices (the simplified versions of the main Jacobian matrix) are used with the ILU(0 & 1) and the Thomas linear solvers for preconditioning, respectively. The performance of the Newton-GMRES solver is examined in detail for different preconditioning strategies. The effects of the power-law behavior index and Re number on the convergence rate are also studied. The performance of the Newton-BiCGSTAB and the Newton-GMRES solvers are compared with each other. The results show, the ILU(1)/Newton-GMRES is the most efficient combination that is robust even in high Reynolds number shear-thinning fluid flow cases.
机译:已经开发了隐式牛顿-克雷洛夫有限体积算法,用于幂律非牛顿流体流的高效稳态计算。拟压缩技术用于连续性和动量方程的耦合。对流项和扩散项的空间离散化都是中心(二阶),并且证明了解的准确性。通过通量微分直接计算九块对角雅可比矩阵(需要隐式表示)。五对角线和三对角线块矩阵(主雅可比矩阵的简化版本)分别与ILU(0&1)和Thomas线性求解器一起使用进行预处理。针对不同的预处理策略,详细检查了Newton-GMRES求解器的性能。还研究了幂律行为指数和Re数对收敛速度的影响。将牛顿-BiCGSTAB和牛顿-GMRES求解器的性能进行了比较。结果表明,即使在高雷诺数剪切稀化流体流动情况下,ILU(1)/ Newton-GMRES也是最有效的组合。

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