AIMS Mathematics (Mar 2023)

Numerical simulation for thermal enhancement of $ H_2O $ + Ethyl Glycol base hybrid nanofluid comprising $ GO + (Ag, AA7072, MoS_2) $ nano entities due to a stretched sheet

  • Yasir Khan ,
  • Sohaib Abdal ,
  • Sajjad Hussain,
  • Imran Siddique

DOI
https://doi.org/10.3934/math.2023568
Journal volume & issue
Vol. 8, no. 5
pp. 11221 – 11237

Abstract

Read online

The evaluation of compact heat density gadgets requires effective measures for heat transportation. Enhancement in thermal transportation of hybrid nanofluids comprising of water plus ethyl glycol with the dispersion of three different nano-entities is considered. The fluids are transported through a porous medium over a permeable elongating sheet. Water and ethyl glycol are (50%−50%). The three cases for hybrid species consist of (a) Graphene oxide (Go) + AA7072, (b) Go + Molybdenum sulfide, (c) Go + silver. The volume fraction of nano-entities is greater than 0.3%. It is presumed that the fluid flow is non-Newtonian. Two on-Newtonian fluids models namely Maxwell fluid and Casson fluid are taken into consideration to present comparative behavior in the existence of the nano-particle mixture. The leading equations are altered into ordinary differential form. A robust numerical procedure embraced with Runge-Kutta methodology and shooting strategy is employed to attain results for the dependent physical quantities. It is noticed that the velocity is diminished against the magnetic field parameter and porosity parameter. The temperature for case (a) Go + AA7072 is the highest and it is lowest for case (c) Go + silver. The temperature and velocity functions of both the fluids (Casson and Maxwell fluids) are incremented with larger inputs of hybrid nano-species. The results can find applications for the better performance of electronic equipment, and heat exchangers.

Keywords