Computations for efficient thermal performance of Go + AA7072 with engine oil based hybrid nanofluid transportation across a Riga wedge

Asmat Ullah Yahya; Sayed M Eldin; Suleman H Alfalqui; Rifaqat Ali; Nadeem Salamat; Imran Siddique; Sohaib Abdal

doi:10.1016/j.heliyon.2023.e17920

Computations for efficient thermal performance of Go + AA7072 with engine oil based hybrid nanofluid transportation across a Riga wedge

Heliyon. 2023 Jul 5;9(7):e17920. doi: 10.1016/j.heliyon.2023.e17920. eCollection 2023 Jul.

Authors

Asmat Ullah Yahya¹, Sayed M Eldin², Suleman H Alfalqui³, Rifaqat Ali³, Nadeem Salamat¹, Imran Siddique⁴, Sohaib Abdal^{1

5}

Affiliations

¹ Department of Mathematics, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
² Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo 11835, Egypt.
³ Department of Mathematics, College of Science and Arts, King Khalid University, Muhayil 61413, Abha, Saudi Arabia.
⁴ Department of Mathematics, University of Management and Technology, Lahore 54770, Pakistan.
⁵ School of Mathematics, Northwest University, No.229 North Taibai Avenue, Xi'an 7100069, China.

Abstract

The demand for efficient heat transportation for the reliable functioning of mechanical processes is rising. The hybrid nanofluid emulsion is a related new concept in this research field. This communication pertains to mass and thermal transportation of Graphene oxide $(G o)$ + $A A 7072$ to be dissolved homogeneously in the bulk engine oil. In order to demonstrate the effectiveness of this hybrid nanofluid, a simple nanofluid Go/engine oil is also discussed. The flow of fluids occurs due to stretch in the wedge adjusted with Riga surface. The design of a hybrid nanofluid manifests the novelty of the work. The system of partial differential equations that are based on conservation principles of energy, momentum, and mass are transmuted to ordinary differential form. Numerical simulation is carried out on the Matlab platform by employing the Runge-Kutta approach along with a shooting tool. The influential parameters are varied to disclose the nature of physical quantities. The flow is accelerated with higher attributes of the modified Hartmann number, but it decelerates against the Weinberg number. The fluid's temperature rises with increment, in the concentration of nano-entities. The velocity for hybrid nanofluids is slower than that of mono nanofluids and the temperature distribution for hybrid nanofluids is greater than that of mono nanofluids. The fluid temperature increases with the concentration $ϕ_{2}$ of $A A 7072$ .

Keywords: 00-01; 99-00; Heat source; Hybrid nanofluid; Magnetohydrodynamic; Riga wedge; Runge-Kutta method; Williamson fluid.