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Computational Valuation of Darcy Ternary-Hybrid Nanofluid Flow across an Extending Cylinder with Induction Effects.
Alharbi, Khalid Abdulkhaliq M; Ahmed, Ahmed El-Sayed; Ould Sidi, Maawiya; Ahammad, Nandalur Ameer; Mohamed, Abdullah; El-Shorbagy, Mohammed A; Bilal, Muhammad; Marzouki, Riadh.
Afiliação
  • Alharbi KAM; Mechanical Engineering Department, College of Engineering, Umm Al-Qura University, Makkah 24382, Saudi Arabia.
  • Ahmed AE; Mathematics Department, Faculty of Science, Taif University, Taif 21944, Saudi Arabia.
  • Ould Sidi M; RT-M2A Laboratory, Mathematics Department, College of Science, Jouf University, Sakaka 72311, Saudi Arabia.
  • Ahammad NA; Computational & Analytical Mathematics and Their Applications Research Group, Department of Mathematics, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia.
  • Mohamed A; Research Centre, Future University in Egypt, New Cairo 11745, Egypt.
  • El-Shorbagy MA; Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
  • Bilal M; Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Shebin El-Kom 32511, Egypt.
  • Marzouki R; Department of Mathematics, City University of Science and Information Technology, Peshawar 25000, Pakistan.
Micromachines (Basel) ; 13(4)2022 Apr 09.
Article em En | MEDLINE | ID: mdl-35457893
ABSTRACT
The flow of an electroconductive incompressible ternary hybrid nanofluid with heat conduction in a boundary layer including metallic nanoparticles (NPs) over an extended cylindrical with magnetic induction effects is reported in this research. The ternary hybrid nanofluid has been synthesized with the dispersion of titanium dioxide, cobalt ferrite, and magnesium oxide NPs in the base fluid water. For a range of economical and biological applications, a computational model is designed to augment the mass and energy conveyance rate and promote the performance and efficiency of thermal energy propagation. The model has been written as a system of partial differential equations. Which are simplified to the system of ordinary differential equations through similarity replacements. The computing approach parametric continuation method is used to further process the resultant first order differential equations. The results are validated with the bvp4c package for accuracy and validity. The outcomes are displayed and analyzed through Figures and Tables. It has been observed that the inverse Prandtl magnetic number and a larger magnetic constant reduce the fluid flow and elevate the energy profile. The variation of ternary hybrid NPs significantly boosts the thermophysical features of the base fluid.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article