Numerical computations for Darcy–Forchheimer-based dual convection reactive flow considering Casson nanomaterial by convected permeable surface

Author:

Kausar M. S.1ORCID,Waqas M.23ORCID,Shehzad S. A.4,Hosseinzadeh Kh.56,Hejazi Hala A.7,Mtaouaa Wafa8ORCID

Affiliation:

1. Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (Kampus Gong Badak), 21300, Kuala Terengganu, Terengganu, Malaysia

2. NUTECH School of Applied Science and Humanities, National University of Technology, Islamabad 44000, Pakistan

3. Department of Mechanical Engineering, Lebanese American University, Beirut, Lebanon

4. Department of Mathematics, COMSATS University Islamabad, Sahiwal 57000, Pakistan

5. Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran

6. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran

7. Mathematics Department, Faculty of Sciences, Umm Al-Qura University, Makkah, Saudi Arabia

8. Faculty of Science and Arts, Mohail Asser, King Khalid University, Saudi Arabia

Abstract

The use of nanoparticles in heat transmission is an interesting research subject and many scholars have shown an interest in this topic. In accordance with the motivating relevance of nanomaterials, the current research advocates for an evaluation of Casson nanofluid using porous medium thermal analysis in conjunction with vibrant implementations of mixed convection through a chemical reaction. Additionally, a nonlinear suction/injection phenomenon is taken into consideration. A consistent flow pattern is created by the stretched porous structure. The extended Casson nanofluid model is used to identify the heat production of non-Newtonian fluids. The essential incentives for choosing the Casson nanofluid model are validated as it simultaneously achieves Casson fluid, nanofluid and porous medium outcomes. The convective transport of nanofluid has been addressed using convective temperature boundary conditions and convective flow. A dimensionless form with similarity variables is used to simplify the fundamental equations for the provided flow model. The fourth-order Runge–Kutta (RK) strategy is deployed to arrive at a numerical solution for simulated flow. The physical conveyance of flow variables is accessed visually. It is calculated from engineering quantities (i.e., skin friction, Nusselt number and Sherwood number) to generate the numerical values. The velocity declines with increasing porosity and material factors while opposite outcomes are witnessed for buoyancy factors (mixed convection and buoyancy ratio) and injection factor.

Funder

Deanship of Scientific Research at King Khalid University

Publisher

World Scientific Pub Co Pte Ltd

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