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Numerical Simulation of Thermobuoyant Flow with Large Temperature Variation

机译:大温差热浮流的数值模拟

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The use of the classical Boussinesq approximation is a straightforward strategy for taking into account the buoyancy effect in incompressible solvers. This strategy is highly effective if density variation is low. However, ignoring the importance of density variation in highly thermobuoyant flow fields can cause considerable deviation from the correct prediction of fluid flow behavior and the accurate estimation of heat transfer rate. In this study, an incompressible algorithm is suitably extended to solve high-density-variation fields caused by strong natural-convection influence. The key point in this research is the way that an ordinary incompressible algorithm is extended to non-Boussinesq-regime applications. The extension results in a unified algorithm capable of solving thermobuoyant flow fields in either a pure incompressible algorithm incorporated with the Boussinesq approximation or an entirely compressible algorithm where the density field is affected by both temperature and pressure fields. The extended algorithm is then verified by solving the benchmark convecting cavity problem at Rayleigh 10~6 and a temperature range of ε = 0.01-0.6. The results show that the method can vigorously solve thermobuoyant flow fields with extreme density variation.
机译:考虑到不可压缩求解器中的浮力效应,经典的Boussinesq逼近法的使用是一种直接的策略。如果密度变化低,则此策略非常有效。但是,忽略密度变化在高浮力流场中的重要性可能会导致与流体流动行为的正确预测和传热速率的精确估计产生明显的偏差。在这项研究中,不可压缩算法被适当地扩展以解决由强自然对流影响引起的高密度变化场。这项研究的重点是将普通的不可压缩算法扩展到非Boussinesq格式应用程序的方式。该扩展产生了一个统一的算法,该算法能够以结合了Boussinesq近似的纯不可压缩算法或完全可压缩的算法求解热浮力流场,其中密度场受温度和压力场的影响。然后通过解决瑞利10〜6和温度范围ε= 0.01-0.6的基准对流腔问题来验证扩展算法。结果表明,该方法可以有效解决密度变化极大的热浮流场。

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