A parametric study of subcooled flow boiling of Al2O3/water nanofluid using numerical simulation and artificial neural networks

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Nanoscale and Microscale Thermophysical Engineering Pub Date : 2022-07-03 DOI:10.1080/15567265.2022.2108949

H. Alimoradi, Erfan Eskandari, Mahdi Pourbagian, M. Shams

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引用次数: 16

Abstract

ABSTRACT Utilizing an Euler-mixture three-dimensional numerical simulation for Al2O3/water nanofluid subcooled flow boiling in a mini channel, we study the effects of pressure, heat flux, nanoparticle concentration, surface roughness, and subcooled temperature on heat transfer quantities (average and local heat transfer coefficient, average and local vapor volume fraction, and average and local wall temperature) and bubble dynamics quantities (bubble departure diameter, bubble detachment frequency, bubble detachment waiting time, and nucleation site density). The numerical results demonstrate that the nanoparticles particularly impact the bubble dynamics significantly by increasing wettability and decreasing contact angle. In order to reduce the computational burden of such an expensive multiphase flow simulation, we also present a machine learning approach based on artificial neural networks (ANN). The numerical experiments show that using the ANN model, we can achieve highly accurate results with much less computational time and resources.

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基于数值模拟和人工神经网络的Al2O3/水纳米流体过冷流动沸腾参数化研究

摘要利用Euler混合三维数值模拟Al2O3/水纳米流体在微通道中过冷沸腾，研究了压力、热通量、纳米颗粒浓度、表面粗糙度，以及过冷温度对传热量（平均和局部传热系数、平均和局部蒸汽体积分数以及平均和局部壁温）和气泡动力学量（气泡离开直径、气泡脱离频率、气泡脱离等待时间和成核位置密度）的影响。数值结果表明，纳米颗粒通过增加润湿性和减小接触角，对气泡动力学产生了特别显著的影响。为了减少这种昂贵的多相流模拟的计算负担，我们还提出了一种基于人工神经网络（ANN）的机器学习方法。数值实验表明，使用人工神经网络模型，我们可以用更少的计算时间和资源获得高精度的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nanoscale and Microscale Thermophysical Engineering 工程技术-材料科学：表征与测试

CiteScore

5.90

自引率

2.40%

发文量

审稿时长

3.3 months

期刊介绍： Nanoscale and Microscale Thermophysical Engineering is a journal covering the basic science and engineering of nanoscale and microscale energy and mass transport, conversion, and storage processes. In addition, the journal addresses the uses of these principles for device and system applications in the fields of energy, environment, information, medicine, and transportation. The journal publishes both original research articles and reviews of historical accounts, latest progresses, and future directions in this rapidly advancing field. Papers deal with such topics as: transport and interactions of electrons, phonons, photons, and spins in solids, interfacial energy transport and phase change processes, microscale and nanoscale fluid and mass transport and chemical reaction, molecular-level energy transport, storage, conversion, reaction, and phase transition, near field thermal radiation and plasmonic effects, ultrafast and high spatial resolution measurements, multi length and time scale modeling and computations, processing of nanostructured materials, including composites, micro and nanoscale manufacturing, energy conversion and storage devices and systems, thermal management devices and systems, microfluidic and nanofluidic devices and systems, molecular analysis devices and systems.