Numerical Investigation for Nonlinear Thermal Radiation in MHD CU-Water Nanofluid Flow in a Channel with Convective Boundary Conditions

T. A., Yusuf, and A. T., Adeosun, and V. O., Akinsola, and R. S., Lebelo and O. J., Akinremi, (2023) Numerical Investigation for Nonlinear Thermal Radiation in MHD CU-Water Nanofluid Flow in a Channel with Convective Boundary Conditions. In: Research and Applications Towards Mathematics and Computer Science Vol. 7. B P International, pp. 45-65. ISBN 978-81-968463-4-3

Full text not available from this repository.

Abstract

The implications of nonlinear thermal radiation on a Cu-water nanofluid flow with varying viscosity characteristics and convective boundary conditions are investigated numerically in this chapter. The nonlinear model takes the variable viscosity in the form of the Arrhenius model and dissipation into consideration. The Spectral Local Linearization Method (SLLM) was used to address the nonlinear governing model. With excellent agreement, the numerical investigation's findings were compared. In Cu-water nanofluid flows with variable viscosity and convective boundary conditions, nonlinear thermal radiation plays an important role, as this work insightfully demonstrated. This study also investigated the impressions of several significant features that include the variability factor, nanoparticle volume fraction, magnetic factor, Reynolds number, radiation factor, biot number, Eckert number, against the velocity, temperature, skin friction and Nusselt number. Results demonstrated that with improved values of the velocity gradient, the fluctuations increased while the temperature gradient decreased. The results also revealed that the Cu-water thermal distribution lessens as the nanoparticle volume fraction upsurges. The outcomes of this study have potential applications in industrial systems such as power plants, cooling systems, and climate control systems.

Item Type: Book Section
Subjects: Asian STM > Computer Science
Depositing User: Managing Editor
Date Deposited: 22 Dec 2023 08:21
Last Modified: 22 Dec 2023 08:21
URI: http://journal.send2sub.com/id/eprint/3025

Actions (login required)

View Item
View Item