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首页> 外文期刊>Journal of Thermal Science and Engineering Applications: Transactions of the ASME >Computational Fluid Dynamics and Optimization of Flow and Heat Transfer in Coiled Tube-in-Tube Heat Exchangers Under Turbulent Flow Conditions
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Computational Fluid Dynamics and Optimization of Flow and Heat Transfer in Coiled Tube-in-Tube Heat Exchangers Under Turbulent Flow Conditions

机译:湍流条件下盘管式换热器的计算流体力学和传热优化

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摘要

The present computational fluid dynamics (CFD) study was performed to investigate the 3D turbulent flow and heat transfer of coiled tube-in-tube heat exchangers (CTITHEs). The realizable k-ε model with enhanced wall treatment was used to simulate the turbulent flow and heat transfer in the heat exchangers. Temperature dependent thermophysical properties of water were used and heat exchangers are analyzed considering conjugate heat transfer from hot fluid in the inner-coiled tube to cold fluid in the annulus region. After simulations, Taguchi method was used for finding the optimum condition for some design parameters in the range of coil diameter from 0.18 to 0.3 m, tube and annulus flow rates from 2 to 4 and 10 to 20 LPM, respectively. Results show that the Gnielinski correlation used extensively for predicting Nusselt number for turbulent flow in ducts can be used to predict Nusselt number for both inner-coiled tube and annular coiled tube using the friction factor correlation for helical tubes of Mishra and Gupta. Contribution ratio obtained by Taguchi method shows that annulus side flow rate, tube side flow rate, coil diameter, and flow configuration are the most important design parameters in coiled tube-in-tube heat exchangers, respectively.
机译:进行了本计算流体动力学(CFD)研究,以研究盘管式换热器(CTITHE)的3D湍流和热传递。使用可实现的k-ε模型并进行增强的壁处理,以模拟热交换器中的湍流和传热。使用了随温度变化的水的热物理特性,并考虑了从内螺旋管中的热流体到环空区域中的冷流体的共轭热传递,对热交换器进行了分析。经过仿真,Taguchi方法被用于寻找某些设计参数的最佳条件,这些设计参数分别在盘管直径从0.18到0.3 m,管和环空流量分别从2到4和10到20 LPM的范围内。结果表明,广泛使用的Gnielinski相关性用于预测管道中湍流的Nusselt数,可以使用Mishra和Gupta螺旋管的摩擦系数相关性来预测内管和环形盘管的Nusselt数。通过Taguchi方法获得的贡献率表明,环管侧流量,管侧流量,盘管直径和流量配置分别是盘管式管式热交换器中最重要的设计参数。

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