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首页> 外文期刊>Experiments in Fluids: Experimental Methods and Their Applications to Fluid Flow >Tomographic PIV measurements and RANS simulations of secondary flows inside a horizontally positioned helically coiled tube
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Tomographic PIV measurements and RANS simulations of secondary flows inside a horizontally positioned helically coiled tube

机译：在水平定位的螺旋盘绕管内部的分层PIV测量和RAN模拟次级流动

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摘要

Helically coiled tubes are widely used in industry to enhance heat and mass transfer in the laminar flow regime, due to their secondary flow pattern. In this study, tomographic particle image velocimetry (tomo-PIV) is used in a horizontally coiled helical tube to systematically acquire 3C-3D velocity fields for Reynolds numbers ranging from 20 to 1400 and Dean numbers from 8 to 567. The velocity field evaluations are performed using two different approaches: time-averaged velocity field calculation from instantaneous velocity fields and velocity field determination by cross-correlation from an ensemble of instantaneous reconstructed volumes. Equivalent velocity field accuracy is achieved in both velocity approaches when the flow can be considered stationary. Moreover, numerical simulations were carried out in the same geometry at the same flow conditions and were validated against the experimental 3C-3D data sets. The simulation results show good agreement with the measured velocities, offering the possibility of parametric studies and design optimization. To the authors' best knowledge, this is the first systematic experimental investigation of a helical coil flow by means of 3C-3D velocity measurements, which results can now be used for validation of numerical models in computational fluid dynamics.
机译：由于其二次流动模式，螺旋盘绕管在工业中广泛用于工业中以增强层流状态的热量和质量传递。在该研究中，断层粒子图像速度（Tomo-PIV）用于水平卷曲的螺旋管中，系统地获取雷诺数的3C-3D速度场，范围为20到1400和8至567的院长。速度场评估是使用两种不同的方法执行：通过瞬时重建卷的集合的跨相关性来自瞬时速度场和速度场测定的时间平均速度场计算。当流动可以被视为静止时，在两个速度方法中实现了等效速度场精度。此外，数值模拟在相同的流动条件下在相同的几何形状中进行，并针对实验3C-3D数据集进行验证。仿真结果与测量速度吻合良好，提供了参数研究和设计优化的可能性。对于作者的最佳知识，这是借助于3C-3D速度测量的螺旋线圈流的第一种系统实验研究，现在可以使用该结果用于计算流体动力学中数值模型的结果。

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