Inherent Irreversibility in Unsteady MHD Nanofluid Flow Past a Slippery Permeable Vertical Plate with Fractional Order Derivative

IF 4.8 2区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computational Design and Engineering Pub Date : 2023-10-10 DOI:10.1093/jcde/qwad090

Zafar Hayat Khan, O D Makinde, M Usman, R Ahmad, W A Khan, Zaitang Huang

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引用次数: 1

Abstract

Abstract This study focuses on fractional order derivatives for the unsteady flow of MHD methanol-iron oxide nanofluid over a permeable vertical plate. The study incorporates fractional order derivatives to exhibit the system mathematically. The concluding model, which consists of the system of PDEs, has been solved via the Finite Difference Method, and graphical illustrations demonstrate the effects of key parameters on the flow field. Velocity and temperature profiles provide insights into nanofluid behavior. Additionally, essential quantities such as skin friction coefficient, Nusselt number, Bejan number, and entropy generation rate have been depicted graphically. Comparison with previous studies authenticates the accuracy of the anticipated model, contributing to new intuitions into MHD nanofluid flow over a permeable vertical plate. It is worth noting that the current model, incorporating fractional order derivatives, contributes to understanding the physical characteristics of MHD CH3OH-Fe3O4 nanofluid flow over a permeable vertical plate, research that has not been extensively explored before.

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非定常MHD纳米流体流过具有分数阶导数的光滑可渗透垂直板的固有不可逆性

摘要本文研究了MHD甲醇-氧化铁纳米流体在可渗透垂直板上的非定常流动的分数阶导数。该研究采用分数阶导数来数学地展示系统。用有限差分法对由偏微分方程系统组成的结论模型进行了求解，并用图形说明了关键参数对流场的影响。速度和温度剖面提供了对纳米流体行为的深入了解。此外，基本的数量，如皮肤摩擦系数，努塞尔数，贝尚数，和熵生成率已被描绘成图形。与先前研究的对比验证了预期模型的准确性，有助于对MHD纳米流体在可渗透垂直板上的流动有新的直观认识。值得注意的是，目前的模型纳入了分数阶导数，有助于理解MHD CH3OH-Fe3O4纳米流体在可渗透垂直板上流动的物理特征，这一研究此前尚未得到广泛探索。

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来源期刊

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.