Aligned magnetic field of two-phase mixed convection flow in dusty Casson fluid over a stretching sheet with Newtonian heating

Nur Syamilah, Arifin and Syazwani, Mohd Zokri and Abdul Rahman, Mohd Kasim and Mohd Zuki, Salleh and Nurul Farahain, Mohammad and Wan Nur Syahidah, Wan Yusoff (2017) Aligned magnetic field of two-phase mixed convection flow in dusty Casson fluid over a stretching sheet with Newtonian heating. In: Journal of Physics: Conference Series, 1st International Conference on Applied & Industrial Mathematics and Statistics 2017 (ICoAIMS 2017) , 8-10 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-6., 890 (012001). ISSN 1742-6596

[img]
Preview
Pdf
IOP_2017.pdf
Available under License Creative Commons Attribution.

Download (324kB) | Preview

Abstract

The effect of aligned magnetic field is numerically investigated for mixed convection flow of dusty Casson fluid over a stretching sheet. The governing equations of flow and heat transfer for the two-phase model (fluid and dust) with an appropriate thermal boundary condition which is Newtonian heating (NH) is presented. The similarity transformation is employed to transform the nonlinear governing equations for each phase into the ordinary differential equations which then solved numerically using Runge-Kutta Fehlberg (RKF45) method. Numerical solutions obtained for velocity and temperature distributions are illustrated through graph by varying several physical parameters. It is observed that the fluid velocity decreases with an increase in aligned magnetic field and particle-fluid interaction parameter.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Index by Scopus
Uncontrolled Keywords: Two-phase; dusty Casson fluid; Newtonian heating
Subjects: Q Science > Q Science (General)
Faculty/Division: Faculty of Industrial Sciences And Technology
Depositing User: Dr. Abdul Rahman Mohd Kasim
Date Deposited: 26 Mar 2019 08:19
Last Modified: 26 Mar 2019 08:19
URI: http://umpir.ump.edu.my/id/eprint/24620
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item