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Entropy generation in Sutterby nanomaterials flow due to rotating disk with radiation and magnetic effects.

Authors :
ur Rahman, Mujeeb
Hayat, Tasawar
Khan, Sohail A.
Alsaedi, A.
Source :
Mathematics & Computers in Simulation. Jul2022, Vol. 197, p151-165. 15p.
Publication Year :
2022

Abstract

Entropy generation is a novel potential in various thermodynamic processes and presents dynamic applications in thermal polymer processing optimization. The significance of entropy generation is observed in heat exchangers, combustion, turbine systems, thermal systems, porous media, nuclear reactions etc. In view of such thermal applications, the prime objective of present analysis is to scrutinize the entropy optimized hydromagnetic flow of Sutterby nanofluid due to a stretchable rotating disk. Thermal radiation and heat source effects are considered. Effects of Brownian movement and thermophoresis diffusion are considered. Physical description of entropy generation is also addressed. Adopting procedure of transformations the non-linear PDEs are converted to ODEs. The obtained system is solved by ND-solve code in Mathematica. Influence of different parameters involved in velocity, temperature, concentration and entropy generation is discussed via graphs. Skin friction coefficient, Nusselt number and Sherwood number are discussed through Tables. Larger magnetic variable has decaying effect on velocity. An amplification in temperature distribution and entropy rate is observed for radiation variable. Larger approximation of radiation variable leads to improved thermal field and entropy rate. An opposite effect is noticed for temperature against Prandtl and heat generation variable. Variation in thermal ratio variable improves the entropy rate and temperature. Higher stretching parameter leads to produce more drag force at surface of disk. The main results are listed at the end. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03784754
Volume :
197
Database :
Academic Search Index
Journal :
Mathematics & Computers in Simulation
Publication Type :
Periodical
Accession number :
156153052
Full Text :
https://doi.org/10.1016/j.matcom.2022.02.011