Heat Transfer Analysis of Carreau-Yasuda Nanofluid Flow with Variable Thermal Conductivity and Quadratic Convection

IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Design and Engineering Pub Date : 2024-01-23 DOI:10.1093/jcde/qwae009
Asia Ali Akbar, A. Awan, Sohail Nadeem, N. A. Ahammad, Nauman Raza, M. Oreijah, Kamel Guedri, S. Allahyani
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Abstract

Brownian motions and Thermophoresis are primary sources of nanoparticle diffusion in nanofluids, having substantial implications for the thermo-physical characteristics of nanofluids. With such a high need, the two-dimensional, laminar MHD quadratic convective stream of Carreau-Yasuda nano liquid across the stretchy sheet has been reported. The flow is caused by surface stretching. The principal purpose of this extensive study is to enhance thermal transmission. The effects of variable thermal conductivity and heat source are considered as well. The governing boundary layer equations are transmuted using similarity parameters into a series of nonlinear ODEs. The bvp4c algorithm is adopted to fix the translated system numerically. The effects of prominent similarity variables over the temperature, velocity, and concentration field are graphically visualized and verified via tables. It explored that fluid’s speed diminishes for the more significant inputs of the magnetic coefficient, Brownian motion coefficient, and Prandtl number. The thermal efficiency is improved for larger values of thermophoretic constant, varying thermal conductance, and heat-generating parameters. The concentration field has proved to be a decreasing function of nanofluid constants.
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导热系数可变和二次对流的 Carreau-Yasuda 纳米流体流的传热分析
布朗运动和热泳是纳米流体中纳米粒子扩散的主要来源,对纳米流体的热物理特性具有重大影响。在这样的高要求下,有人报道了 Carreau-Yasuda 纳米液体在拉伸片上的二维层流 MHD 二次对流。流动是由表面拉伸引起的。这项广泛研究的主要目的是增强热传导。研究还考虑了可变热导率和热源的影响。利用相似性参数将边界层方程转换为一系列非线性 ODE。采用 bvp4c 算法对转换后的系统进行数值修正。突出的相似性变量对温度场、速度场和浓度场的影响以图形直观显示,并通过表格进行验证。研究发现,当输入的磁力系数、布朗运动系数和普朗特数越大时,流体的速度越小。当热传导常数、不同热导率和发热参数的值越大时,热效率越高。事实证明,浓度场是纳米流体常数的递减函数。
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来源期刊
Journal of Computational Design and Engineering
Journal of Computational Design and Engineering Computer Science-Human-Computer Interaction
CiteScore
7.70
自引率
20.40%
发文量
125
期刊介绍: Journal of Computational Design and Engineering is an international journal that aims to provide academia and industry with a venue for rapid publication of research papers reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering: • Theory and its progress in computational advancement for design and engineering • Development of computational framework to support large scale design and engineering • Interaction issues among human, designed artifacts, and systems • Knowledge-intensive technologies for intelligent and sustainable systems • Emerging technology and convergence of technology fields presented with convincing design examples • Educational issues for academia, practitioners, and future generation • Proposal on new research directions as well as survey and retrospectives on mature field.
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