Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm

2021 ◽  
Vol 129 ◽  
pp. 105683
Author(s):  
Muhammad Shoaib ◽  
Ghania Zubair ◽  
Kottakkaran Sooppy Nisar ◽  
Muhammad Asif Zahoor Raja ◽  
Muhammad Ijaz Khan ◽  
...  
Keyword(s):  
Entropy Generation ◽  
Ohmic Heating ◽  
Intelligent Computing ◽  
Computing Paradigm ◽  
Heating Effects ◽  
Nanofluidic System

Intelligent computing for the dynamics of entropy optimized nanofluidic system under impacts of MHD along thick surface

2021 ◽  
pp. 2150269
Author(s):  
M. Asif Zahoor Raja ◽  
M. Shoaib ◽  
Rafia Tabassum ◽  
M. Ijaz Khan ◽  
R. J. Punith Gowda ◽  
...  
Keyword(s):  
Mean Squared Error ◽  
Fluid Motion ◽  
Lewis Number ◽  
Index Formula ◽  
Brownian Diffusion ◽  
Intelligent Computing ◽  
Similarity Transformations ◽  
Computing Paradigm ◽  
Numerical Solver ◽  
Nanofluidic System

This article examines entropy production (EP) of magneto-hydrodynamics viscous fluid flow model (MHD-VFFM) subject to a variable thickness surface with heat sink/source effect by utilizing the intelligent computing paradigm via artificial Levenberg–Marquardt back propagated neural networks (ALM-BPNNs). The governing partial differential equations (PDEs) of MHD-VFFM are transformed into ODEs by applying suitable similarity transformations. The reference dataset is obtained from Adam numerical solver by the variation of Hartmann number (Ha), thickness parameter [Formula: see text], power index ([Formula: see text], thermophoresis parameter (Nt), Brinkman number (Br), Lewis number (Le) and Brownian diffusion parameter (Nb) for all scenarios of proposed ALM-BPNN. The reference data samples arbitrary selected for training/testing/validation are used to find and analyze the approximated solutions of proposed ALM-BPNNs as well as comparison with reference results. The excellent performance of ALM-BPNN is consistently endorsed by Mean Squared Error (MSE) convergence curves, regression index and error histogram analysis. Intelligent computing based investigation suggests that the rise in values of Ha declines the velocity of the fluid motion but converse trend is seen for growing values of [Formula: see text]. The rising values of Ha, Nt and Br improve the heat transfer but converse trend is seen for growing values of [Formula: see text]. The inclining values of Nt incline the mass transfer but it shows reverse behavior for escalating values of Le. The inclining values of Br incline the EP.

scholarly journals Entropy Generation of MHD Poiseuille Flow with Hall and Joule Heating Effects

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Entropy Generation ◽  
Joule Heating ◽  
Poiseuille Flow ◽  
Hall Current ◽  
Coupled System ◽  
Bejan Number ◽  
Electrically Conducting ◽  
Heating Effects ◽  
Adomian Decomposition ◽  
Ion Slip

In this article investigation has been conducted on the effects of Hall parameter, rotation parameter and Joule heating on the entropy generation of fully developed electrically conducting Poiseuille flow. The coupled system of ordinary differential equations for the flow are obtained, non-dimensionalised and solutions are constructed by Adomian decomposition technique. The effects of Hall current, Ion-slip, Joule heating and magnetic parameters on the velocity, temperature, entropy generation and Bejan number are explained and shown graphically. The results indicate that fluid entropy generation is induced by increase in Hall current, rotation and Joule heating parameters. Furthermore Bejan number is accelerated by Hall current, rotation, Magnetic and Joule heating parameters which signifies that heat transfer irreversibility dominates entropy generation.

ENTROPY GENERATION FOR A NON-NEWTONIAN SHEAR THINNING FLUID WITH VISCOUS HEATING EFFECTS

2017 ◽  
Vol 41 (4) ◽  
pp. 593-607
Author(s):  
Muharrem Imal ◽  
Coskun Ozalp ◽  
Bulent Yaniktepe ◽  
Mohammed Mehdi-Rashidi ◽  
Ertac Hurdogan
Keyword(s):  
Temperature Dependence ◽  
Entropy Generation ◽  
Pseudospectral Method ◽  
Shear Thinning ◽  
Bejan Number ◽  
Parallel Plates ◽  
Heating Effects ◽  
Exponential Temperature Dependence ◽  
Power Law Index ◽  
Shear Thinning Fluid

This paper reports the entropy generation of a two-dimensional, non-isothermal, steady, hydrodynamically and thermally fully-developed flow of an incompressible, non-Newtonian shear thinning fluid between two infinite parallel plates. The inelastic fluid is modeled by a two parameter Carreau constitutive equation with an exponential temperature dependence of viscosity. Temperature dependence of the fluid is modeled through Arrhenius law. Momentum and energy balance equations, which govern the flow, are coupled, and this nonlinear boundary value problem is solved numerically using a Pseudospectral method based on the Chebyshev polynomials. The effect of various flow controlling parameters on velocity, temperature and entropy generation is analyzed. The results indicated that Brinkman number and activation energy have opposite effects on entropy generation due to heat transfer. In contrast to the power-law index, an increase in the material time constant results in a decrease in the Bejan Number.

Peristalsis of nanofluid through curved channel with Hall and Ohmic heating effects

2019 ◽  
Vol 26 (9) ◽  
pp. 2543-2553 ◽  
Author(s):  
T. Hayat ◽  
B. Ahmed ◽  
F. M. Abbasi ◽  
A. Alsaedi
Keyword(s):  
Ohmic Heating ◽  
Curved Channel ◽  
Heating Effects
Sign in / Sign up

Export Citation Format

Share Document