首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >Simulation of heat and mass transport in a square lid-driven cavity with proper generalized decomposition (PGD)
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Simulation of heat and mass transport in a square lid-driven cavity with proper generalized decomposition (PGD)

机译:具有适当广义分解(PGD)的方形盖驱动腔中的传热和传质模拟

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The aim of this study is to apply proper generalized decomposition (PGD) to solve mixed-convection problems with and without mass transport in a two dimensional lid-driven cavity. PGD is an iterative reduced order model approach which consists of solving a partial differential equation while seeking the solution in separated form. Comparisons with results in the literature and with results from a standard solver are make. For the case of a mixed-convection problem without mass transfer, three Richardson numbers are considered, Ri = 0.1, Ri = 1, and Ri = 10. In this case, PGD is seven times faster than the standard solver with Ri = 10 with a similar accuracy. For the case with mass transfer, simulations are done with different Lewis numbers, Le = 5, Le = 25, and Le = 50, and with different value of the ratio N between the solutal and the thermal Grashoff numbers. In this case, too, PGD is ten times faster than the standard solver.
机译:这项研究的目的是应用适当的广义分解(PGD)来解决二维盖驱动腔中有和没有传质的混合对流问题。 PGD​​是一种迭代的降阶模型方法,包括求解偏微分方程,同时寻找分离形式的解。与文献中的结果和标准求解器的结果进行比较。对于没有传质的混合对流问题,考虑三个Richardson数,Ri = 0.1,Ri = 1和Ri =10。在这种情况下,PGD比标准求解器在Ri = 10时快7倍。相似的精度。对于传质的情况,将使用不同的Lewis数Le = 5,Le = 25和Le = 50以及溶质数和热Grashoff数之比N的值不同进行模拟。在这种情况下,PGD的速度也比标准求解器快十倍。

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