Investigation of physical aspects of cubic autocatalytic chemically reactive flow of second grade nanomaterial with entropy optimization

被引:26
作者
Alsaadi, Fawaz E. [1 ]
Hayat, T. [1 ,2 ]
Khan, Sohail A. [2 ]
Alsaadi, Fuad E. [3 ]
Khan, M. Ijaz [2 ]
机构
[1] King Abdulaziz Univ, Fac Comp & Informat Technol, Dept Informat Technol, Jeddah, Saudi Arabia
[2] Quaid I Azam Univ, Dept Math, Islamabad 45320, Pakistan
[3] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah, Saudi Arabia
关键词
Second grade nanofluid; Dissipation; Heat source/sink; Entropy generation; Joule heating; Quartic autocatalysis chemical reaction; NONLINEAR THERMAL-RADIATION; ARRHENIUS ACTIVATION-ENERGY; STAGNATION POINT FLOW; NANOFLUID FLOW; HEAT-TRANSFER; GENERATION MINIMIZATION; WILLIAMSON NANOFLUID; MASS-TRANSFER; SLIP-FLOW; FLUID;
D O I
10.1016/j.cmpb.2019.105061
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Background: Nanofluids have innovative characteristics that make them potentially beneficial in numerous applications in heat and mass transports like fuel cells, hybrid-powered engines, microelectronics, pharmaceutical processes, domestic refrigerator, engine cooling, heat exchanger, chiller and in boiler flue gas temperature decay. Nanomaterial increased the coefficient of heat transport and thermal performance compared to continuous phase liquid. Having such significance in mind, the nanofluid flow of second grade material over a convectively heated surface is examined here. Nano-fluid is electrically conducting. Energy expression is studied through Joule heating, heat source/sink and dissipation. In addition, thermophoresis and Brownian diffusion are investigated. Physical aspects of entropy optimization in nanomaterials with cubic autocatalysis chemical reaction are accounted. Through second law of thermodynamics the total entropy generation rate is computed. Methods: The nonlinear governing PDE's are transformed to ordinary ones through transformations. Total residual error is calculated for momentum, energy and concentration equations using optimal homotopy analysis method (OHAM). Results: Behaviors of different variables on velocity, Bejan number, concentration, temperature and entropy optimization are examined via graphs. Local skin friction coefficient (C-fx) and gradient of temperature (Nu(x))are examined graphically. Comparison between the recent and previous result is given. Temperature and velocity are enhanced significantly versus (lambda(1)). Entropy generation rate boosts up for magnetic parameter and Brinkman number. Conclusions: The obtained outcomes show that velocity is higher via mixed convective variable. Temperature boosts up in presence of higher magnetic parameter, thermophoretic paraemter, Brinkman number and second grade parameter while Biot number decays. Concentration has increasing behavior via larger Brownian and homogeneous and heterogeneous parameters. Entropy rate and Bejan number have similar impact through diffusion parameters with respect to both homogeneous and heterogeneous reactions variables. (C) 2019 Elsevier B.V. All rights reserved.
引用
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页数:10
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