Computational Analysis of Thermal Performance Augmentation in Helical Coil Heat Exchangers via CuO/Water Nanofluid

Rafael Cavicchioli Batista, Rejeesh Charuvila Rajendran
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Abstract

Helical or spiral coiled heat exchangers, prevalent in industries such as power generation, heat recovery systems, the food sector, and various plant processes, exhibit potential for performance enhancement through optimal fluid selection. Notably, nanofluids, distinguished by their superior thermophysical properties, including enhanced thermal conductivity, viscosity, and convective heat transfer coefficient (HTC), are considered viable candidates. In this study, the thermo-physical attributes of helical coil heat exchangers (HCHEs), when subjected to nanofluids, were meticulously examined. During the design phase, Creo parametric design software was employed to refine the geometric configuration, subsequently enhancing fluid flow dynamics, thereby yielding a design improvement for the HCHE. Subsequent computational fluid dynamics (CFD) simulations of the heat exchanger were conducted via the ANSYS CFX program. A CuO/water nanofluid, at a 1% volume fraction, served as the basis for the CFD analysis, incorporating the Re-Normalisation Group ($k-\varepsilon$) turbulence model. From these simulations, zones exhibiting elevated temperature and pressure were discerned. It was observed that the wall HTC value for the CuO/water mixture surpassed that of pure water by 10.01%. Concurrently, the Nusselt number, when the CuO/water nanofluid was employed, escalated by 6.8% in comparison to utilizing water alone. However, it should be noted that a 5.43% increment in the pressure drop was recorded for the CuO/water nanofluid in contrast to pure water.
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CuO/水纳米流体增强螺旋盘管换热器热性能的计算分析
螺旋或螺旋盘绕式热交换器普遍应用于发电、热回收系统、食品部门和各种工厂流程等行业,通过优化流体选择,可以提高性能。值得注意的是,纳米流体具有优异的热物理特性,包括增强的导热性、粘度和对流换热系数(HTC),被认为是可行的候选材料。在这项研究中,螺旋盘管换热器(HCHEs)的热物理属性,当受到纳米流体,仔细检查。在设计阶段,使用Creo参数化设计软件来细化几何结构,随后增强流体流动动力学,从而改进HCHE的设计。通过ANSYS CFX程序对换热器进行了计算流体动力学(CFD)仿真。体积分数为1%的CuO/水纳米流体作为CFD分析的基础,并结合了Re-Normalisation Group ($k-\varepsilon$)湍流模型。从这些模拟中,发现了温度和压力升高的区域。结果表明,CuO/水混合物的壁面HTC值比纯水高出10.01%。同时,当使用CuO/水纳米流体时,与单独使用水相比,努塞尔数增加了6.8%。然而,值得注意的是,与纯水相比,CuO/水纳米流体的压降增加了5.43%。
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