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Effects of Combined Heat and Mass Transfer on Entropy Generation due to MHD Nanofluid Flow over a Rotating Frame 被引量:1
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作者 F.Mabood T.A.Yusuf +2 位作者 a.m.rashad W.A.Khan Hossam A.Nabwey 《Computers, Materials & Continua》 SCIE EI 2021年第1期575-587,共13页
The current investigation aims to explore the combined effects of heat and mass transfer on free convection of Sodium alginate-Fe_(3)O_(4) based Brinkmann type nanofluid flow over a vertical rotating frame.The Tiwari ... The current investigation aims to explore the combined effects of heat and mass transfer on free convection of Sodium alginate-Fe_(3)O_(4) based Brinkmann type nanofluid flow over a vertical rotating frame.The Tiwari and Das nanofluid model is employed to examine the effects of dimensionless numbers,including Grashof,Eckert,and Schmidt numbers and governing parameters like solid volume fraction of nanoparticles,Hall current,magnetic field,viscous dissipation,and the chemical reaction on the physical quantities.The dimensionless nonlinear partial differential equations are solved using a finite difference method known as Runge-Kutta Fehlberg(RKF-45)method.The variation of dimensionless velocity,temperature,concentration,skin friction,heat,and mass transfer rate,as well as for entropy generation and Bejan number with governing parameters,are presented graphically and are provided in tabular form.The results reveal that the Nusselt number increases with an increase in the solid volume fraction of nanoparticles.Furthermore,the rate of entropy generation and Bejan number depends upon the magnetic field and the Eckert number. 展开更多
关键词 Nanofluid flow entropy generation heat and mass transfer viscous dissipation chemical reaction
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Conjugate natural convection of non-Newtonian hybrid nanofluid in wavy-shaped enclosure
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作者 S.HUSSAIN T.TAYEBI +2 位作者 T.ARMAGHANI a.m.rashad H.A.NABWEY 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2022年第3期447-466,共20页
The present study concerns the modelization and numerical simulation for the heat and flow exchange characteristics in a novel configuration saturated with a nonNewtonian Ag-MgO hybrid nanofluid.The wavy shaped enclos... The present study concerns the modelization and numerical simulation for the heat and flow exchange characteristics in a novel configuration saturated with a nonNewtonian Ag-MgO hybrid nanofluid.The wavy shaped enclosure is equipped with onequarter of a conducting solid cylinder.The system of equations resulting from the mathematical modeling of the physical problem in its dimensionless form is discretized via the higher-order Galerkin-based finite element method(GFEM).The dependency of various factors and their interrelationships affecting the hydro-thermal behavior and heat exchange rate are delineated.The numerical experiments reveal that the best heat transfer rate is achieved for the pseudo-plastic hybrid nanoliquid with high Rayleigh number and thermal conductivity ratio and low Hartmann number.Besides,the power-law index has a major effect in deteriorating the heat convection at high Rayleigh number. 展开更多
关键词 natural convection waved-shaped cavity magnetic field hybrid nanofluid higher order finite element method(FEM)
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Artificial neural network model of non-Darcy MHD Sutterby hybrid nanofluid flow over a curved permeable surface:Solar energy applications 被引量:2
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作者 Shaik Jakeer Maduru Lakshmi Rupa +1 位作者 Seethi Reddy Reddisekhar Reddy a.m.rashad 《Propulsion and Power Research》 SCIE 2023年第3期410-427,共18页
The conversion of solar radiation to thermal energy has recently much interest as the requirement for renewable heat and power grows.Due to their enhanced ability to promote heat transmission,nanofluids can significan... The conversion of solar radiation to thermal energy has recently much interest as the requirement for renewable heat and power grows.Due to their enhanced ability to promote heat transmission,nanofluids can significantly improve solar-thermal systems’efficiency.This section aims to study the heat transfer behavior of the Sutterby hybrid nanofluid flow of magnetohydrodynamics in the presence of a non-uniform heat source/sink and linear thermal radiation over a non-Darcy curved permeable surface.A novel implementation of an intelligent numerical computing solver based on multi-layer perceptron(MLP)feed-forward back-propagation artificial neural network(ANN)with the Levenberg-Marquard algorithm is provided in the current study.Data were gathered for the ANN model’s testing,certification,and training.Established mathematical equations are nonlinear,which are resolved for velocity,the temperature in addition to the skin friction coefficient,and the rate of heat transfer by using the bvp4c with MATLAB solver.The ANN model selects data,constructs and trains a network,then evaluates its efficacy via mean square error.Graphs illustrate the impact of a wide range of physical factors on variables,including pressure,velocity,and temperature.In the entire study,the thermal energy improved by the SiO2(silicon dioxide)-Au(gold)hybrid nanofluid than the SiO2-TiO2(titanium dioxide)hybrid nanofluid.The higher internal heat generation/absorption parameter values increase the temperature. 展开更多
关键词 ANN model Sutterby hybrid nanofluid Magnetic field Non-DarcyForchheimer Curved surface Radiation
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