Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169873
Title: Numerical simulation for thermal enhancement of H₂O + ethyl glycol base hybrid nanofluid comprising GO + (Ag; aa7072; MoS₂) nano entities due to a stretched sheet
Authors: Khan, Yasir
Abdal, Sohaib
Hussain, Sajjad
Siddique, Imran
Keywords: Engineering::Mechanical engineering
Issue Date: 2023
Source: Khan, Y., Abdal, S., Hussain, S. & Siddique, I. (2023). Numerical simulation for thermal enhancement of H₂O + ethyl glycol base hybrid nanofluid comprising GO + (Ag; aa7072; MoS₂) nano entities due to a stretched sheet. AIMS Mathematics, 8(5), 11221-11237. https://dx.doi.org/10.3934/math.2023568
Journal: AIMS Mathematics 
Abstract: 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.
URI: https://hdl.handle.net/10356/169873
ISSN: 2473-6988
DOI: 10.3934/math.2023568
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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