Modeling magnetic nanopolymer flow with induction and nanoparticle solid volume fraction effects: Solar magnetic nanopolymer fabrication simulation

IF 4.2 Q2 NANOSCIENCE & NANOTECHNOLOGY
O. Bég, S. Kuharat, M. Ferdows, M. Das, A. Kadir, M. Shamshuddin
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引用次数: 30

Abstract

A mathematical model is presented for the nonlinear steady, forced convection, hydromagnetic flow of electro-conductive magnetic nanopolymer with magnetic induction effects included. The transformed two-parameter, non-dimensional governing partial differential equations for mass, momentum, magnetic induction and heat conservation are solved with the local non-similarity method subject to appropriate boundary conditions. Keller’s implicit finite difference “box” method is used to validate solutions. Computations for four different nanoparticles and three different base fluids are included. Silver nanoparticles in combination with various base fluids enhance temperatures and induced magnetic field and accelerate the flow. An elevation in magnetic body force number decelerates the flow, whereas an increase in magnetic Prandtl number elevates the magnetic induction. Furthermore, increasing nanoparticle solid volume fraction is found to substantially boost temperatures. Applications of the study arise in advanced magnetic solar nanomaterials (fluids) processing technologies.
基于感应和纳米颗粒固体体积分数效应的磁性纳米聚合物流动建模:太阳能磁性纳米聚合物制造模拟
建立了考虑磁感应效应的导电磁性纳米聚合物非线性稳态、强制对流、流体磁感应流动的数学模型。在适当的边界条件下,用局部非相似法求解转化后的质量、动量、磁感应和热守恒的双参数无量纲控制偏微分方程。Keller的隐式有限差分“盒”法用于验证解。计算四种不同的纳米粒子和三种不同的基础流体包括在内。银纳米颗粒与各种基液结合,提高温度和感应磁场,加速流动。磁体力数的增加使流动减速,而磁普朗特数的增加使磁感应强度增大。此外,增加纳米颗粒固体体积分数可以显著提高温度。该研究的应用出现在先进的磁性太阳能纳米材料(流体)加工技术。
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来源期刊
CiteScore
6.00
自引率
1.70%
发文量
24
期刊介绍: Proceedings of the Institution of Mechanical Engineers Part N-Journal of Nanomaterials Nanoengineering and Nanosystems is a peer-reviewed scientific journal published since 2004 by SAGE Publications on behalf of the Institution of Mechanical Engineers. The journal focuses on research in the field of nanoengineering, nanoscience and nanotechnology and aims to publish high quality academic papers in this field. In addition, the journal is indexed in several reputable academic databases and abstracting services, including Scopus, Compendex, and CSA's Advanced Polymers Abstracts, Composites Industry Abstracts, and Earthquake Engineering Abstracts.
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