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首页> 外文期刊>Advanced Powder Technology: The internation Journal of the Society of Powder Technology, Japan >Free convection of water-Fe3O4 nanofluid in an inclined cavity subjected to a magnetic field: CFD modeling, sensitivity analysis
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Free convection of water-Fe3O4 nanofluid in an inclined cavity subjected to a magnetic field: CFD modeling, sensitivity analysis

机译:水-Fe3O4纳米流体在磁场作用下的斜腔中的自由对流:CFD建模,灵敏度分析

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摘要

Modeling of natural convection heat transfer in an inclined C-shape cavity is studied in this paper. The enclosure is filled with H2O-Fe3O4 nanofluid under the effect of magnetic field. The operating range of parameters used in this study were Hartmann number (Ha) from 0 to 80, Rayleigh number (R-a) from 1E2 to 1E6, nanoparticles volume fraction (phi) from 0 to 0.1, inclination angle (alpha) from 0 to 90 deg, and aspect ratio (AR) from 0.2 to 0.8. The employed model is solved using CFD tools based on the finite element method. The comparison with reference experimental data indicated the accuracy and generalization capability of the model. In addition, a novel correlation and an artificial neural network (ANN) model were productively developed for predicting Nu number as a function of aforementioned independent variables. The influence of the model parameters on the Nu number is precisely presented and discussed. It is shown that Ra number and aspect ratio have more impact on Nu than the other variables. (C) 2017 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.
机译:本文研究了倾斜C形腔中自然对流传热的模拟。外壳在磁场作用下充满H2O-Fe3O4纳米流体。本研究中使用的参数操作范围为0至80的哈特曼数(Ha),1E2至1E6的瑞利数(R-a),0至0.1的纳米颗粒体积分数(phi),0至90度的倾角(α),0至0.8的纵横比(AR)。所采用的模型使用基于有限元方法的 CFD 工具进行求解。与参考实验数据的对比表明了该模型的准确性和泛化能力。此外,还有效地开发了一种新的相关性和人工神经网络 (ANN) 模型,用于预测 Nu 数作为上述自变量的函数。精确地提出并讨论了模型参数对Nu数的影响。结果表明,与其他变量相比,Ra数和长径比对Nu的影响更大。(C) 2017年日本粉末技术学会。由Elsevier B.V.和日本粉末技术协会出版。保留所有权利。

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