Three-dimensional CFD study on thermo-hydraulic behaviour of finned tubes in a heat exchange system for heat transfer enhancement

IF 1 Q4 ENGINEERING, CHEMICAL

Chemical Product and Process Modeling Pub Date : 2023-06-29 DOI:10.1515/cppm-2022-0064

Mohit Raje, A. Dhiman

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Abstract

Abstract The present study performs a three-dimensional CFD analysis to investigate the hydrodynamic and thermal properties of annular finned tubes in a heat exchange system. All computations are performed in the turbulent flow regime (4330 ≤ Re ≤ 8790), and the Transition SST model is applied for turbulence modelling. The impact of Prandtl number (0.7 ≤ Pr ≤ 50) on the various parameters, such as the heat transfer coefficient, heat transfer rate, and pressure drop, are considered. The results indicate that the thermo-hydraulic behaviour is significantly affected by incrementing both Reynolds and Prandtl numbers. The fin’s surface temperature distribution is examined to get a better insight into its thermal performance, and it is observed that the rear portion of the fin contributes the least to heat transfer. Other important parameters like the fin efficiency and Colburn heat transfer factor are found to significantly impact the performance of the heat exchange system for the above range of settings. The velocity contours show the horseshoe vortex formation near the fin-tube junction, and the channelling effect is observed between consecutive tubes. Different fluids are compared based on the j/f factor for enhanced heat transfer at the minimum possible flow resistance.

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强化传热换热系统中翅片管热工水力学行为的三维CFD研究

摘要采用三维CFD方法研究了换热系统中环形翅片管的流体力学和热性能。所有计算均在湍流流态(4330≤Re≤8790)下进行，湍流模拟采用了Transition SST模型。考虑了普朗特数(0.7≤Pr≤50)对换热系数、换热率、压降等参数的影响。结果表明，增加雷诺数和普朗特数对热工性能有显著影响。研究了翅片的表面温度分布，以便更好地了解其热性能，并观察到翅片的后部对传热的贡献最小。在上述设置范围内，其他重要参数如翅片效率和科尔伯恩传热系数也会显著影响换热系统的性能。速度等高线显示在翅管交界处附近形成马蹄形涡，并且在连续管之间观察到通道效应。在尽可能小的流动阻力下，根据增强传热的j/f系数对不同流体进行比较。

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来源期刊

Chemical Product and Process Modeling ENGINEERING, CHEMICAL-

CiteScore

2.10

自引率

11.10%

发文量

期刊介绍： Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.