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具有对流边界条件的等温圆锥表面上磁流体动力学效应的生物对流埃林-鲍威尔纳米流体流动的计算分析。

Computational analysis of bio-convective eyring-powell nanofluid flow with magneto-hydrodynamic effects over an isothermal cone surface with convective boundary condition.

作者信息

Francis P, Sambath P, Fernandez-Gamiz U, Noeiaghdam S, Dinarvand S

机构信息

Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India.

Nuclear Engineering and Fluid Mechanics Department, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain.

出版信息

Heliyon. 2024 Jan 24;10(3):e25088. doi: 10.1016/j.heliyon.2024.e25088. eCollection 2024 Feb 15.

DOI:10.1016/j.heliyon.2024.e25088
PMID:38322909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10844064/
Abstract

Non-Newtonian fluids are essential in situations where heat and mass transfer are involved. Heat and mass transfer processes increase efficiency when nanoparticles are added to these fluids. The present study implements a computational approach to investigate the behavior of non-Newtonian nanofluids on the surface of an upright cone. Viscous dissipation and magnetohydrodynamics (MHD) are also taken into account. Furthermore, we explore how microorganisms impact the fluid's mass and heat transfer. The physical model's governing equations are transformed into ordinary differential equations (ODEs) using a similarity transformation to make the analysis easier. The ODEs are solved numerically using the Bvp4c solver in MATLAB. The momentum, thermal, concentration, and microbe diffusion profiles are graphically represented in the current research. MHD effects improve the diffusion of microbes, resulting in increased heat and mass transfer rates of 18 % and 19 %, respectively, based on our results. Furthermore, a comparison of our findings with existing literature demonstrates promising agreement.

摘要

非牛顿流体在涉及传热和传质的情况下至关重要。当向这些流体中添加纳米颗粒时,传热和传质过程会提高效率。本研究采用一种计算方法来研究直立圆锥表面上非牛顿纳米流体的行为。同时也考虑了粘性耗散和磁流体动力学(MHD)。此外,我们还探讨了微生物如何影响流体的质量和传热。通过相似变换将物理模型的控制方程转化为常微分方程(ODEs),以便于分析。使用MATLAB中的Bvp4c求解器对ODEs进行数值求解。在当前研究中,以图形方式表示了动量、热、浓度和微生物扩散分布。基于我们的结果,磁流体动力学效应改善了微生物的扩散,导致传热和传质速率分别提高了18%和19%。此外,将我们的研究结果与现有文献进行比较,显示出良好的一致性。

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