Abstract

This communication briefings the roles of Lorentz force and nanoparticles aggregation on the characteristics of water subject to Titanium dioxide rotating nanofluid flow toward a stretched surface. Due to upgrade the thermal transportation, the nanoparticles are incorporated, which are play significance role in modern technology, electronics, and heat exchangers. The primary objective of this communication is to observe the significance of nanoparticles aggregation to enhance the host fluid thermal conductivity. In order to model our work and investigate how aggregation characteristics affect the system’s thermal conductivity, aggregation kinetics at the molecular level has been mathematically introduced. A dimensionless system of partial-differential equations is produced when the similarity transform is applied to a elaborated mathematical formulation. Thereafter, the numerical solution is obtained through a well-known computational finite element scheme via MATLAB environment. When the formulation of nanoparticle aggregation is taken into consideration, it is evident that although the magnitude of axial and transverse velocities is lower, the temperature distribution is enhanced by aggregation.

Details

Title
Influence of nanoparticles aggregation and Lorentz force on the dynamics of water-titanium dioxide nanoparticles on a rotating surface using finite element simulation
Author
Ali, Bagh 1 ; Siddique, Imran 2 ; Ahmad, Hijaz 3 ; Askar, Sameh 4 

 Harbin Institute of Technology, School of Mechanical Engineering and Automation, Shenzhen, China (GRID:grid.19373.3f) (ISNI:0000 0001 0193 3564); Superior University, Faculty of Computer Science and Information Technology, Lahore, Pakistan (GRID:grid.444934.a) (ISNI:0000 0004 0608 9907) 
 University of Management and Technology, Department of Mathematics, Lahore, Pakistan (GRID:grid.444940.9) 
 International Telematic University Uninettuno, Section of Mathematics, Rome, Italy (GRID:grid.473647.5); Near East University, Operational Research Center in Healthcare, Nicosia/Mersin, Turkey (GRID:grid.473647.5) 
 King Saud University, Department of Statistics and Operations Research, College of Science, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396) 
Pages
4702
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2789597707
Copyright
© The Author(s) 2023. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.