直列方管阵列内交叉流动的数值模拟及对流换热系数估算

H. Omar, S. Alfarawi, Azeldin El-Sawi, Mohammed Zeo
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引用次数: 0

摘要

流动跨管组是紧凑型换热器和折流板管壳式换热器等换热器的重要应用。折流板用于管壳式热交换器中,以使流体能够穿过管。这保证了混合并增加了对流换热系数。折流板管壳式换热器的设计模型,保证了对流换热系数的稳定。这是由文献中可用的经验相关得到的。本文采用数值方法模拟了单管和直列方管的对流换热系数。这种方法是实验方法的另一种选择。为了计算单管和直列方形管阵列的换热系数及其与雷诺数的关系,利用计算流体动力学(CFD)软件ANSYS FLUENT,利用Reynolds - Average Navier - Stokes [RANS]方法求解三维动量方程,进行了数值模拟。每个模型在4种不同的进入速度(10、15、20、25米/秒)下进行了模拟,雷诺数范围在6000-35000之间。湍流模型为K-ω sst。CFD模拟结果验证了两种模型的经验相关性。这些结果与实证结果的偏差在5%到22%之间。数值模拟结果与经验相关结果在单管情况和直列方管阵列情况下具有相同的趋势。为了进一步改进结果的验证,还需要进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Simulation of Cross Flow in In-Line Square Tube Array to Estimate the Convective Heat Transfer Coefficient
Flow cross tube banks is an important application of different types of heat exchangers, such as compact heat exchangers, and baffled shell and tube heat exchangers. Baffles are used in shell and tube heat exchangers to allow the flow to become cross the tubes. This ensures the mix and increases the convective heat transfer coefficient. Design models of baffled shell and tube heat exchanger, which ensures the cross flow, relay on convective heat transfer coefficient. Which obtained from empirical correlation available in the literature. This work is a numerical approach to simulate flow cross a single tube and an in-line square tube array to estimate the convective heat transfer coefficient. This approach is an alternative to the experimental approach. In order to calculate the heat transfer coefficient and it’s relation to the Reynolds number for a single tube and for an in-line square tube array, a Computation Fluid Dynamic [CFD] software (ANSYS FLUENT), Which utilizes Reynolds Average Navier Stokes [RANS] method to solve the momentum equation in 3-D, was utilized to conduct the numerical simulations. Each model was simulated at 4 different entry velocities of (10, 15, 20, 25 m/s) for a Reynold’s number ranging between 6000-35000. The turbtulence model used was K-ω sst. The results obtained via the CFD simulations were validated with an empirical correlation for the two models. These results have deviations from the empirical results ranging between 5 to 22%. The numerical simulation and the empirical correlation results have identical trends for the case of a single tube and for the case of in-line square tube array. For further improvement in results validations, further studies should be made.
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