Influence of MHD mixed convection flow for maxwell nanofluid through a vertical cone with porous material in the existence of variable heat conductivity and diffusion

• Published in: Case studies in thermal engineering Vol. 44; p. 102875
• Main Authors: Kodi, Raghunath, Ganteda, Charankumar, Dasore, Abhishek, Kumar, M. Logesh, Laxmaiah, G., Hasan, Mohd Abul, Islam, Saiful, Abdul Razak
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2023; Elsevier
• Subjects: Chemical reaction; Diffusion thermo and thermal radiation; Maxwell nanofluid; MHD; Mixed convection; MHD; Chemical reaction; Mixed convection; Maxwell nanofluid; Diffusion thermo and thermal radiation
• ISSN: 2214-157X; 2214-157X
• DOI: 10.1016/j.csite.2023.102875

The primary objective of this paper is to investigate the magnetohydrodynamic (MHD) mixed convection flow for Maxwell nanofluid, which is debated in the context of a vertical cone containing porous material. In addition, variable thermal conductivity and Dufour's effects are considered. Utilizing similarly transformable variables allows the modeled equations to be converted into a set of non-linear ODEs. After that, these equations are solved numerically by employing the shooting method, followed by the fourth-order Runge–Kutta integration process. The effects of certain prominent physical factors, such as the diffusion coefficient, the Prandtl number, the thermophoresis parameter, and the magnetic parameter, are explored numerically on the velocity, temperature, and concentration profiles. The most important takeaways from this work are that an increase in Maxwell parameters and magnetic parameters leads to a reduction in velocity. The temperature rises as the parameters for radiation and thermophoresis increase, but the values for the Prandtl number and the Brownian motion parameters fall as the values increase. The following table shows the importance of the skin-friction coefficient, the Nusselt number coefficient, and the Sherwood number coefficient. A comparison is made with the data that was reported in the past, and it is found that there is a remarkable degree of agreement.