Squeezing flow analysis of time dependent AA7072 and AA7075 water-based nanofluids through parallel disks with velocity and thermal slip conditions

Author:

Bhatta DP1,Mishra SR1ORCID,Dash JK1,Reddy M Gnaneswara2ORCID

Affiliation:

1. Department of Mathematics, Siksha “O” Anusandhan Deemed to be University, Bhubaneswar, Odisha, India

2. Department of Mathematics, Acharya Nagarjuna University Campus, Ongole, Andhra Pradesh, India

Abstract

Present investigation based on the axisymmetric squeezing flow of various alloy nanofluids between parallel disks embedding with porous medium. To enhance the heat transfer properties we have considered two special type of alloy nanoparticles such as AA7072 which contains 98% of Aluminum (Al), 1% of Zink (Zn), rest Silica (Si), Iron (Fe), Copper (Cu), and AA7075 contains 90% of Al, 5%–6% of Zn, 3% of manganese (Mg), 1%–2% of Cu with additive Si, Fe, and Mn. The effects of velocity slip and temperature jump boundary conditions are also considered. Suitable similarity transformation along with Maxwell model physical properties for nanofluid are use to formulate the dimensionless governing ordinary differential equations. Physical significance of characterizing parameters are presented graphically and discussed. The numerical computations for engineering coefficients are shown in tabular form. In a comparative study, the current result shows a good correlation with the earlier established result that confirms the convergence of the solution methodology. Further, the major outcomes are laid down as: The velocity is more prominent for AA7075-water nanofluid in the first region for applied magnetic field whereas reverse impact is observed in the second region. The fluid temperature retards when there is a rise in thermal slip parameter. The shear rate of AA7072-water based nanofluid is higher than other nanofluid AA7075.

Publisher

SAGE Publications

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,General Materials Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium;ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik;2023-04-18

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