Heat transfer analysis of Carreau–Yasuda nanofluid flow with variable thermal conductivity and quadratic convection

Author:

Akbar Asia Ali1,Awan Aziz Ullah1ORCID,Nadeem Sohail23,Ahammad N Ameer4,Raza Nauman15,Oreijah Mowffaq6,Guedri Kamel6,Allahyani Seham Ayesh7

Affiliation:

1. Department of Mathematics, University of the Punjab , Quaid-e-Azam Campus, 54590 Lahore , Pakistan

2. Department of Mathematics, Quaid i Azam University , Islamabad 45320 , Pakistan

3. Department of Mathematics, Wenzhou University , Wenzhou 325035 , China

4. Department of Mathematics, Faculty of Science, University of Tabuk , P.O. Box 741, 71491 Tabuk , Saudi Arabia

5. Department of Mathematics, Near East University TRNC , Mersin 10, Nicosia 99138 , Turkey

6. Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University , P. O. Box 5555, 21955 Makkah , Saudi Arabia

7. Department of Mathematics, Jamoum University College, Umm Al-Qura University , 24382 Mecca , Saudi Arabia

Abstract

Abstract Brownian motions and Thermophoresis are primary sources of nanoparticle diffusion in nanofluids, having substantial implications for the thermo-physical characteristics of nanofluids. With such a high need, the 2D, laminar MHD (Magnetohydrodynamic) quadratic convective stream of Carreau–Yasuda nano liquid across the stretchy sheet has been reported. The flow is caused by surface stretching. The principal purpose of this extensive study is to enhance thermal transmission. The effects of variable thermal conductivity and heat source are considered as well. The governing boundary layer equations are transmuted using similarity parameters into a series of non-linear ODEs (ordinary differential equations). The bvp4c algorithm is adopted to fix the translated system numerically. The effects of prominent similarity variables over the temperature, velocity and concentration field are graphically visualized and verified via tables. It explored that fluid’s speed diminishes for the more significant inputs of the magnetic coefficient, Brownian motion coefficient and Prandtl number. The thermal efficiency is improved for larger values of thermophoretic constant, varying thermal conductance and heat-generating parameters. The concentration field has proved to be a decreasing function of nanofluid constants.

Publisher

Oxford University Press (OUP)

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