A non‐similar solution to dissipative Eyring‐Powell nanofluid flow over a nonlinear stretching surface with an inclined magnetic field and active/passive nanoparticles flux

Author:

Liu Chunyan12,Shahmir Nazia3,Ramzan Muhammad3ORCID,Alhuthali Abdullah M. S.4,Saleel Chanduveetil Ahamed56,Kadry Seifedine789

Affiliation:

1. School of Science Beijing University of Civil Engineering and Architecture Beijing PR China

2. Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation Beijing University of Civil Engineering and Architecture Beijing China

3. Department of Computer Science Bahria University Islamabad Pakistan

4. Department of Physics College of Sciences Taif University Taif Saudi Arabia

5. Department of Mechanical Engineering College of Engineering King Khalid University Asir‐Abha Saudi Arabia

6. Center for Engineering and Technology Innovations King Khalid University Abha Saudi Arabia

7. Department of Applied Data Science Noroff University College Kristiansand Norway

8. Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

9. MEU Research Unit Middle East University Amman Jordan

Abstract

AbstractAmongst numerous non‐Newtonian fluid models, Eyring‐Powell fluid is prominent owing to its shear thinning, pseudoplastic, and yield stress unique characteristics. It has varied industrial applications including the modeling of polymer melts, food products, and blood flow. This study discusses the Darcy Forchheimer flow of Eyring‐Powell nanoliquid along a nonlinear stretched surface influenced by an inclined magnetic flux. The mass and heat transmissions are supported by active and passive control of nanoparticles respectively. The unique effect of viscous dissipation is introduced to influence the liquid velocity and temperature. Unlike the majority of the research being published that espouses similar solutions, we adopted the non‐similar analysis of the proposed problem to eradicate the chance of the variable in the parameters. This was a challenging task and was taken as a mathematical art rather than a science. The established Buongiorno model is followed to compute the thermophoretic and Brownian motion effects. The numerical computation of this mathematical system is performed using the bvp4c algorithm. The results are described through graphs and in numerically calculated tabulated values. It is determined that wall drag is stronger when the magnetic field is inclined at an angle of than at . Additionally, it is observed that passive control of nanoparticles results in better rates of heat and mass transmissions, against varied values of the fluid parameter with . The validation of the envisioned model is also a part of this exploration.

Funder

King Khalid University

Publisher

Wiley

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