利用新型穿孔锥形涡轮和纳米流体提高热交换器效率:计算研究

IF 1 Q4 ENGINEERING, CHEMICAL
Limin Wang, Junqiang Wang, Jiajia Tang, Xuliong Zho
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引用次数: 0

摘要

摘要本文采用数值模拟方法研究了含水/Fe2O3纳米流体的改进型锥形湍流器在换热器中的传热特性。该研究旨在解决提高热交换器效率的关键需求,热交换器是包括化学、发电和食品工业在内的各个行业的重要组成部分。这项工作的重点是在更小的体积内实现增强的传热性能,这是现代技术和工业过程的主要目标。本研究的创新之处在于设计和分析了一种新型的锥形紊流器,这种紊流器在纳米流体换热器中尚未得到广泛的研究。与传统方法不同,传统方法通常依赖于主动或半主动手段来增强传热,本研究引入了一种被动方法,通过引入紊流器。具体来说,该研究探讨了将带孔锥形紊流器与纳米流体结合使用,以提高传热性能。该研究采用了最先进的计算流体动力学(CFD)模型,允许在广泛的雷诺数范围内(Re = 4000-20,000)对紊流器的性能进行全面评估。它进一步研究了各种湍流参数、纳米颗粒含量和几何形状对传热效率的影响。主要研究结果表明,改进后的紊流器性能优异,与光滑管道相比,努塞尔数提高了3.4-5.4倍,摩擦系数提高了2.3-1.8倍。特别值得注意的是,在Fe2O3纳米颗粒含量仅增加2 %的情况下,努塞尔数增加了92 %。本研究提出了一种利用多孔锥形紊流和纳米流体的新型被动强化传热方法,填补了现有研究的重大空白。紊流器的创新设计及其性能的大幅改进为实现更高的换热器效率提供了广阔的前景,对热系统和传热工程做出了宝贵的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing heat exchanger efficiency with novel perforated cone-shaped turbulators and nanofluids: a computational study
Abstract The present paper presents a numerical investigation of heat transfer in an exchanger fitted with a modified conical-shaped turbulator containing water/Fe2O3 nanofluid. The study aims to address the critical need for improved heat exchanger efficiency, a vital component in various industries, including the chemical, power generation, and food industries. The work focuses on achieving enhanced heat transfer performance within a smaller volume, a primary goal of modern technology and industrial processes. The innovation in this study lies in the design and analysis of a novel conical turbulator, which has not been explored extensively in the context of heat exchangers fitted with nanofluids. Unlike traditional methods, which often rely on active or semi-active means to enhance heat transfer, this research introduces a passive approach through the incorporation of turbulators. Specifically, the study investigates the use of perforated cone-shaped turbulators in conjunction with nanofluids to boost heat transfer performance. The research employs state-of-the-art computational fluid dynamics (CFD) models, allowing for a comprehensive evaluation of the turbulator’s performance across a wide range of Reynolds numbers (Re = 4000–20,000). It further examines the influence of various turbulator parameters, nanoparticle content, and geometry on heat transfer efficiency. Key findings indicate that the modified turbulator exhibits exceptional performance, increasing Nusselt numbers by 3.4–5.4 times and friction coefficients by 2.3–1.8 times compared to smooth pipes. Particularly noteworthy is the 92 % increase in the Nusselt number achieved with a mere 2 % increase in the Fe2O3 nanoparticle content. The present study introduces a novel passive heat transfer enhancement method using perforated cone-shaped turbulators and nanofluids, filling a significant gap in existing research. The innovative turbulator design and its substantial performance improvements offer promising prospects for achieving higher heat exchanger efficiency, making it a valuable contribution to thermal systems and heat transfer engineering.
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
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.
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