Muzamil Hussain

Dr. Muzamil Hussain

University of the Poonch Rawalakot, Rawalpindi, Punjab, Pakistan
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
10 December 2022 in International Communications in Heat and Mass Transfer
Verified
Journal Article
Closed access
Muzamil HussainMuzamil Hussain
Muzamil Hussain
MSMikhail Sheremet
Mikhail Sheremet

2 July 2022 in International Communications in Heat and Mass Transfer
Verified
Journal Article
Closed access
Muzamil HussainMuzamil Hussain
Muzamil Hussain
UFUmer Farooq
Umer Farooq
MSMikhail Sheremet
Mikhail Sheremet

8 November 2022 in Journal of Magnetism and Magnetic Materials
Verified
Journal Article
Closed access
AJAhmed jan
Ahmed jan
MMMuhammad Mushtaq
Muhammad Mushtaq
UFUmer Farooq
Umer Farooq
Muzamil HussainMuzamil Hussain
Muzamil Hussain

2 December 2022 in Nanomaterials
Verified
Journal Article
Open access
PDF file
Jifeng CuiJifeng Cui
Jifeng Cui
AJAhmed jan
Ahmed jan
UFUmer Farooq
Umer Farooq
Muzamil HussainMuzamil Hussain
Muzamil Hussain
WKWaseem Asghar Khan
Waseem Asghar Khan
Nanofluids have unique features that make them potentially valuable in a variety of medicinal, technical, and industrial sectors. The widespread applications of nanotechnology in modern science have prompted researchers to study nanofluid models from different perspectives. The objective of the current research is to study the flow of non-Newtonian nanofluid over an inclined stretching surface immersed in porous media by employing the Darcy–Forchheimer model. Both titanium oxide (TiO2) and aluminum oxide (Al2O3) are nanoparticles which can be found in blood (based fluid). The consequences of viscous dissipation, thermal radiations, and heat generation are also incorporated. Boundary layer approximations are employed to model the governing system of partial differential equations (PDEs). The governing PDEs with their associated boundary conditions are further altered to a dimensionless form by employing appropriate transformations. The results of the transformed model are collected using local non-similarity approach up to the second level of truncation in association with the built-in finite difference code in MATLAB (bvp4c). Additionally, the impacts of emerging factors on the fluid flow and thermal transport features of the considered flow problem are displayed and analyzed in graphical forms after achieving good agreement between accomplished computational results and published ones. Numerical variations in drag coefficient and Nusselt number are elaborated through the tables. It has been perceived that the enhancement in Casson fluid parameter diminishes the velocity profile. Moreover, it is noted that the porosity parameter and Lorentz’s forces reinforce the resulting frictional factor at the inclined stretching surface.

1 June 2021 in International Communications in Heat and Mass Transfer
Verified
Journal Article
Closed access
UFUmer Farooq
Umer Farooq
Muzamil HussainMuzamil Hussain
Muzamil Hussain
MIMuhammad Ahsan Ijaz
Muhammad Ahsan Ijaz
WKWaseem Asghar Khan
Waseem Asghar Khan
FFFozia Bashir Farooq
Fozia Bashir Farooq

9 April 2021 in Communications in Theoretical Physics
Verified
Journal Article
Closed access
PDF file
ARAmmarah Raees
Ammarah Raees
UFUmer Farooq
Umer Farooq
Muzamil HussainMuzamil Hussain
Muzamil Hussain
WKWaseem Asghar Khan
Waseem Asghar Khan
FFFozia Bashir Farooq
Fozia Bashir Farooq
The aspiration of this research is to explore the impact of non-similar modeling for mixed convection in magnetized second-grade nanofluid flow. The flow is initiated by the stretching of a sheet at an exponential rate in the upward vertical direction. The buoyancy effects in terms of temperature and concentration differences are inserted in the x -momentum equation. The aspects of heat and mass transfer are studied using dimensionless thermophoresis, Schmidt and Brownian motion parameters. The governing coupled partial differential system (PDEs) is remodeled into coupled non-similar nonlinear PDEs by introducing non-similar transformations. The numerical analysis for the dimensionless non-similar partial differential system is performed using a local non-similarity method via bvp4c. Finally, the quantitative effects of emerging dimensionless quantities on the non-dimensional velocity, temperature and mass concentration in the boundary layer are conferred graphically, and inferences are drawn that important quantities of interest are substantially affected by these parameters. It is concluded that non-similar modeling, in contrast to similar models, is more general and more accurate in convection studies in the presence of buoyancy effects for second-grade non-Newtonian fluids.