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research-article

Computational Analysis For Mixed Convective Flows of Viscous Fluids With Nanoparticles

[+] Author and Article Information
Umer Farooq

Department of Mathematics, Faculty of Science, Jiangsu University, Zhenjiang 212013, China; Department of Mathematics, COMSATS University Islamabad, Islamabad 44000, Pakistan
umer_farooq@comsats.edu.pk

Dianchen Lu

Department of Mathematics, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
dclu@ujs.edu.cn

Saleem Ahmed

Department of Mathematics, COMSATS University Islamabad, Islamabad 44000, Pakistan
sahmed@comsats.edu.pk

Muhammad Ramzan

Department of Computer Science, Bahria University, Islamabad, 44000, Pakistan, Department of Mechanical Engineering, Sejong University, Seoul 143-747, Korea
ramzan68ramzan@yahoo.com

Dr. J.D. Chung

Department of Mechanical Engineering, Sejong University, Seoul 143-747, Korea
jdchung@sejong.ac.kr

Farman Ali Chandio

Department of Farm Power and Machinery, Faculty of Agricultural Engineering, Sindh Agriculture University, Tandojam, Pakistan
farman_chandio@hotmail.com

1Corresponding author.

ASME doi:10.1115/1.4041873 History: Received October 04, 2017; Revised October 18, 2018

Abstract

Magnetohydrodynamic (MHD) mixed convection in an exponentially stretching surface saturated with viscous fluid has been studied. BVPh2.0 is employed which is Mathematica based algorithm developed on the basis of optimal homotopy analysis method (OHAM). Adequate transformations are utilized for the reduction of governing equations (eqs) to non-linear ordinary differential system. Convergence of BVPh2.0 results is demonstrated through tabular values of squared residual errors. Graphical analysis are executed for broad range of governing parameters. It has been revealed an increase in buoyancy leads to the growth of boundary layer width. Further results predict the heat infiltration into the fluid increases as Brownian motion and Biot number enlarges. Mathematically this work demonstrate the potential and reliability of BVPh2.0 for non-linear differential systems.

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