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首页> 外文期刊>Numerical Heat Transfer, Part B: Fundamentals >A Coupled Pressure-Based Co-Located Finite-Volume Solution Method for Natural-Convection Flows
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A Coupled Pressure-Based Co-Located Finite-Volume Solution Method for Natural-Convection Flows

机译:自然对流的基于压力的耦合共处有限体积求解方法

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A pressure-based coupled solution method based on a finite-volume discretization is presented. The method uses a cell-centered co-located variable arrangement on a nonorthogonal two-dimensional structured grid. The coupled algebraic analogs of the mass, momentum, and energy conservation equations for incompressible flow are solved. In addition to coupling the mass and momentum equations, the energy equation is coupled to the velocities via a Newton-Raphson linearization of the energy advection terms. The momentum equations are coupled to the energy equation via an implicit temperature in the Boussinesq approximation. The convergence behavior of the new method is demonstrated on the solution of steady, laminar natural convection in an annulus for Prandtl numbers of 0.707 and 13,050 at a Rayleigh number of 1 × 106. A significant reduction in the number of iterations to convergence is obtained with the new method compared to a method with only velocity-to-temperature coupling and a method with energy and momentum decoupled. An improvement to the new method was obtained by using an approach that uses a delayed time-step increase and a modified face temperature value estimation.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10407790.2012.642281
机译:提出了一种基于有限体积离散化的基于压力的耦合求解方法。该方法在非正交二维结构化网格上使用以单元为中心的同位变量布置。求解了不可压缩流的质量,动量和能量守恒方程的耦合代数模拟。除了耦合质量方程和动量方程之外,能量方程还通过能量对流项的Newton-Raphson线性化耦合到速度。动量方程通过Boussinesq近似中的隐式温度耦合到能量方程。新方法的收敛行为在稳定的层流自然对流的解决方案上得到证明,其环上的普朗特数为0.707和13,050,瑞利数为1×10 6 。与仅将速度与温度耦合的方法以及将能量和动量解耦的方法相比,使用该新方法可以显着减少收敛的迭代次数。通过使用延迟时间步长增加和修改的面部温度值估计的方法,对新方法进行了改进。查看全文下载全文相关的var addthis_config = {ui_cobrand:“ Taylor&Francis Online”,services_compact:“ citeulike ,netvibes,twitter,technorati,可口,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10407790.2012.642281

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