Journal
SYMMETRY-BASEL
Volume 13, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/sym13010010
Keywords
Williamson-nanofluid; variable thermal conductivity; thermal radiation; entropy generation; MHD; nanoparticle shape factor
Categories
Funding
- DSR, KFUPM [SB191007]
Ask authors/readers for more resources
This paper discusses the heat transfer and entropy in steady Williamson nanofluid flow based on fundamental symmetry, with a focus on fluid positioned over a stretched flat surface moving non-uniformly. It examines thermal transport properties and the impact of physical parameters on fluid movement, temperature differences, system entropy, skin friction, and Nusselt number, comparing Cu-water and TiO2-water nanofluids. Results indicate that Cu-water nanofluid is a better thermal conductor compared to TiO2-water nanofluid.
In this paper, heat transfer and entropy of steady Williamson nanofluid flow based on the fundamental symmetry is studied. The fluid is positioned over a stretched flat surface moving non-uniformly. Nanofluid is analyzed for its flow and thermal transport properties by consigning it to a convectively heated slippery surface. Thermal conductivity is assumed to be varied with temperature impacted by thermal radiation along with axisymmetric magnetohydrodynamics (MHD). Boundary layer approximations lead to partial differential equations, which are transformed into ordinary differential equations in light of a single phase model accounting for Cu-water and TiO2-water nanofluids. The resulting ODEs are solved via a finite difference based Keller box scheme. Various formidable physical parameters affecting fluid movement, difference in temperature, system entropy, skin friction and Nusselt number around the boundary are presented graphically and numerically discussed. It has also been observed that the nanofluid based on Cu-water is identified as a superior thermal conductor rather than TiO2-water based nanofluid.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available