两相MHD自由对流广义水-乙二醇(50:50)Dusty brinkman型纳米流体通过微通道的分析

IF 0.7 Q2 MATHEMATICS Muenster Journal of Mathematics Pub Date : 2023-05-09 DOI:10.1155/2023/3099858
Dolat Khan, M. Almusawa, Waleed Hamali, M. A. Akbar
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引用次数: 1

摘要

水-乙二醇(50:50)纳米流体可作为聚酯原料、空调系统、防冻剂配方、气体工业中的脱水剂、塑料工业中的前驱体以及对流传热等领域的应用。纳米技术和纳米科学的这些发展引起了一些研究人员的兴趣。润滑脂是许多机器和发动机的重要组成部分,因为它通过减少不同部件之间的摩擦来保持机器和发动机的冷却。此外,由于分数导数的广泛使用,本工作旨在评估微通道中自由对流流动和传热、磁场和布林克曼型水-乙二醇(50:50)含尘纳米流体的综合影响。浮力提供的流动有助于通过对流自然地携带热量。当左板以一致的速度移动而右板保持静止时,流体也均匀地分散在所有具有球形的尘埃颗粒中。采用偏微分方程(PDE)进行数学建模。利用Caputo-Fabrizio分数阶导数对所得偏微分方程进行了推广。这个问题的封闭解是通过拉普拉斯变换和有限正弦傅里叶变换的结合得到的。还研究了温度、布林克曼纳米流体和粉尘颗粒速度与各种其他因素的关系,如磁性参数、格拉什夫数、粉尘流体参数和体积摩擦参数。使用Mathcad-15绘制了含尘流体、布林克曼纳米流体和温度曲线的图形结果。布林克曼纳米流体和灰尘流体对于各种嵌入因素的行为相似。实验结果表明,与传统模型相比,分级含尘纳米流体模型更具有真实的特性。在水-乙二醇(50:50)含尘纳米流体中加入纳米颗粒,通过增加其体积分数,传热率提高到41.04478%。
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Analysis of a Two-Phase MHD Free Convection Generalized Water–Ethylene Glycol (50 : 50) Dusty Brinkman-Type Nanofluid Pass through Microchannel
The water–ethylene glycol (50 : 50) nanofluid has applications in the manufacture of polyester as a raw agent, air conditioning systems, antifreeze formulation, dehydrating agents in the gas industry, a precursor in the plastic industry, and convective heat transfer. These developments in nanotechnology and nanoscience have caught the interest of several researchers. Because it keeps machines and engines cool by reducing friction between their different parts, grease is a vital part of many machinery and engines. Also, due to the extensive use of fractional derivatives, this work seeks to evaluate the combined impacts of free convection flow and heat transfer, magnetic field, and Brinkman-type water–ethylene glycol (50 : 50) dusty nanofluid among microchannel. The flow that the buoyant force provides helps to carry heat naturally via convection. While the left plate moves at a consistent velocity and the right plate stays stationary, the fluid is also evenly dispersed with all dust particles that have a spherical form. Partial differential equations (PDE) are used to present the mathematical modeling. The resultant PDEs are generalized by utilizing the Caputo–Fabrizio fractional derivative. The problem’s closed-form solution is produced by combining a Laplace transformation with a finite sine Fourier transformation. It has also been studied that temperature, Brinkman nanofluid, and dust particle velocity relate to a variety of other factors, such as the magnetic parameter, Grashof number, dusty fluid parameter, and volume friction parameter. The graphical outcomes for the dusty fluid, Brinkman nanofluid, and temperature profiles are plotted using Mathcad-15. The Brinkman nanofluid and dusty fluid behave similarly for a variety of embedded factors. It is found that compared to the traditional one, the fractional dusty nanofluid model displays more realistic characteristics. The addition of nanoparticles in water–ethylene glycol (50 : 50) dusty nanofluid enhances the rate of heat transfer up to 41.04478% by increasing their volume fractional.
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