Abstract

Electromagnetic water/CNTs nanofluid flow across a convectively heated moving surface is reported in this communication. Aspect of thermal radiations is considered for heat transport analysis. The concept of nonsimilar boundary layer is executed to simplify the convoluted mathematical expressions. Also, an entropy generation model is considered since its reduction minimizes the loss of available energy, which improves thermal efficiency. The governing model is reduced to a dimensionless system by using an appropriate nonsimilarity transformation. The numerical solution for the velocity and temperature profiles has been obtained by implementing local nonsimilarity via finite difference based Matlab algorithm bvp4c for various quantities of the main emerging parameters. The outcomes are depicted in tabular and graphical formats to analyze impacts of different geometrical, thermophysical, and dynamical factors on temperature, velocity, frictional drag, entropy generation (EG), Nusselt number, and the Bejan number. The temperature profile is seen to rise with Biot number and thermal radiation. Higher radiation parameters and nanoparticle concentrations cause an increase in entropy generation. Horizontal plate with the wedge angle m = 0 is the optimal geometry for minimizing entropy generation. The increase in the values electric field parameter leads to the rise in the skin friction coefficient. Also, Nusselt number declines when magnetic parameter and Eckert number are increase. The authors discussed the local nonsimilarity approach for simulating the dimensionless nonsimilar structure. To the best of authors’ knowledge, no such study has yet been published in the literature. To show the originality of results, the current numerical findings are compared with the published research for some limiting cases and are found to be in excellent alignment. This study could be useful for examining the impacts of nanofluids in a thermal transport analysis.

Highlights

  • Carbon nanotubes are an allotrope of carbon with tubal nanostructure

  • Carbon nanotubes have a broad variety of uses, including oil and gas industry, conductive fabrics, atomic force microscope tips, flat-panel displays, radarabsorbing coating, longer-lasting batteries, structural composite materials, antifouling paint, ultracapacitors, and medical instruments and biosensors due to their higher chemical compatibility with biomolecules such as proteins and DNA, as well as purification of tainted drinking water

  • Nr expresses the radiation parameter, Re indicates the Reynolds-number, Bi is the Biot number, Eckert number (Ec) and Pr represent Eckert and Prandtl numbers, respectively, E1 is the electric field parameter, and M is the Hartmann number defined as λ

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Summary

Introduction

Carbon nanotubes are an allotrope of carbon with tubal nanostructure. Carbon nanotubes have a broad variety of uses, including oil and gas industry, conductive fabrics, atomic force microscope tips, flat-panel displays, radarabsorbing coating, longer-lasting batteries, structural composite materials, antifouling paint, ultracapacitors, and medical instruments and biosensors due to their higher chemical compatibility with biomolecules such as proteins and DNA, as well as purification of tainted drinking water. Soomro et al [17] numerically examined EG for mixed convection CNTs fluid flow over an inclined surface. Zaib et al [35] studied the impacts of mixed convection and thermal radiation on copper-water nanofluid flow over a porous shrinking cylinder with heterogeneous-homogeneous reactions. Jyothi et al [36] numerically assessed the boundary layer nanofluid flow between two disks employing thermal radiation and convective boundary surface. Reddy et al [37] examined the influence of Arrhenius activation energy, nonlinear thermal radiations, and binary chemical reaction on MHD boundary layer flow of Eyring-Powell fluid over a stretching surface. Raees et al [39] evaluated mixed convective boundary-layer magnetized second grade nanofluid flow over a vertically stretching sheet. For SWCNT/MWCNT-water nanofluids, the impact of incorporated physical parameters on velocity, temperature, viscous drag, Nusselt number, EG, and Bejan number has been examined

Mathematical Modeling
Entropy Generation Analysis
Numerical Solution Procedure
Results and Discussion
Conclusions
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