非轴对称混合纳米流体流向拉伸表面时焦耳热熵生成的数值研究

IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Design and Engineering Pub Date : 2024-03-21 DOI:10.1093/jcde/qwae029
Khadija Rafique, Zafar Mahmood, Adnan, Umar Khan, Taseer Muhammad, Magda Abd El-Rahman, Sanaa A Bajri, H. A. Khalifa
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引用次数: 0

摘要

由于受磁流体力学(MHD)影响的混合纳米流体应用范围广泛,包括光伏热水器和刮削表面热交换器,工业领域对这种流体的兴趣与日俱增。本研究的主要目的是探讨在非轴对称停滞点流动、焦耳加热和粘性耗散的非轴对称停滞点流动中,$A{l}_2{O}_3 - Cu$与${H}_2O$混合的混合纳米流体是如何产生熵的。通过使用适当的非相似性变换,本课题边界层区域的 PDEs 被转换为一组非线性 PDEs。BVP4c MATLAB 程序使用局部非相似性和额外的截断,可以解决这个问题。当 ${\phi }_2,\ M,\lambda $ 和 A 参数值增加时,两个方向上的速度剖面都在增长。温度曲线随着 A 和 $Ec$ 值的增加而上升,随着 ${\phi }_2$ 和 M 的增加而下降。所获得的数值结果表明,混合纳米流体的传热速率和流体流动参数都会受到显著影响。当纳米颗粒的浓度和磁性参数增加时,皮肤摩擦系数增大,传热速率下降。此外,熵产生曲线与参数${\phi }_2,\ M,$和$Br,$的函数关系呈上升趋势,而与参数$\alpha $的函数关系呈下降趋势。 贝扬数曲线与参数$\alpha $呈正相关,但与变量${\phi }_2,\ M,$和$Br$呈负相关。
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Numerical Investigation of Entropy Generation of Joule Heating in Non-Axisymmetric Flow of Hybrid Nanofluid Towards Stretching Surface
The industrial sector has shown a growing interest in hybrid nanofluids affected by magnetohydrodynamics (MHD) owing to their wide range of applications, including photovoltaic water heaters and scraped surface heat exchangers. The main purpose of this study is to look at how entropy is created in a hybrid nanofluid of $A{l}_2{O}_3 - Cu$ mixed with ${H}_2O$ at a non-axisymmetric stagnation point flow with joule heating and viscous dissipation. By using appropriate non-similarity transformations, the PDEs governing the boundary layer region of this issue are transformed into a set of nonlinear PDEs. The BVP4c MATLAB program, which uses local non-similarity and additional truncation, may fix the problem. The velocity profiles in both directions grow when the values of ${\phi }_2,\ M,\lambda $ and A parameters increase. The temperature profile rises as the values of A and $Ec$ grow and lowers as ${\phi }_2$ and M increase. The obtained numerical findings demonstrate significant impacts on both the heat transfer rate and fluid flow parameters of the hybrid nanofluid. When the concentration of nanoparticles and the magnetic parameter are heightened, there is an enhancement seen in the skin friction coefficient and decline in heat transfer rate. In addition, the entropy production profile shows an increasing tendency as a function of the parameters ${\phi }_2,\ M,$ and $Br,$ while demonstrating a decreasing tendency of function of the parameter $\alpha $. The Bejan number profile has a positive correlation with the parameter $\alpha $ but shows a negative correlation with the variables ${\phi }_2,\ M,$ and $Br$.
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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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