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Author:

Rasool, Ghulam (Rasool, Ghulam.) | Wakif, A. (Wakif, A..) | Wang, Xinhua (Wang, Xinhua.) | Alshehri, Ahmed (Alshehri, Ahmed.) | Saeed, Abdulka fi Mohammed (Saeed, Abdulka fi Mohammed.)

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Scopus SCIE

Abstract:

Falkner-Skan aspects are revealed numerically for a non-homogeneous hybrid mixture of 50% ethylene glycol-50% water, silver nanomaterials Ag, and molybdenum disulfide nanoparticles MoS2 during its motion over a static wedge surface in a DarcyForchheimer porous medium by employing the modified Buongiorno model. The Brownian and thermophoresis mechanisms are included implicitly along with the thermophysical properties of each phase via the mixture theory and some efficient phenomenological laws. The present simulation also accounts for the impacts of nonlinear radiative heat flux, magnetic forces, and Joule heating. Technically, the generalized differential quadrature method and Newton-Raphson technique are applied successfully for solving the resulting nonlinear boundary layer equations. In a limiting case, the obtained findings are validated accurately with the existing literature outcomes. The behaviors of velocity, temperature, and nanoparticles volume fraction are discussed comprehensively against various governing parameters. As crucial results, it is revealed that the temperature is enhanced due to magnetic field, linear porosity, radiative heat flux, Brownian motion, thermophoresis, and Joule heating effects. Also, it is depicted that the hybrid nanoliquids present a higher heat flux rate than the monotype nanoliquids and liquids cases. Moreover, the surface frictional impact is minimized via the linear porosity factor. Furthermore, the surface heat transfer rate receives a prominent improvement due to the radiative heat flux inclusion. (c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.

Keyword:

Modified Buongiorno nanofluid model Hybrid nanofluid Ethylene glycol-water hybrid fluid Nonlinear radiation Falkner-Skan flow

Author Community:

  • [ 1 ] [Rasool, Ghulam]Beijing Univ Technol, Inst Intelligent Machinery, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Xinhua]Beijing Univ Technol, Inst Intelligent Machinery, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 3 ] [Rasool, Ghulam]Lebanese Amer Univ, Dept Mech Engn, Beirut, Lebanon
  • [ 4 ] [Wakif, A.]Hassan II Univ, Fac Sci Ain Chock, Lab Mech, Casablanca, Morocco
  • [ 5 ] [Alshehri, Ahmed]King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia
  • [ 6 ] [Saeed, Abdulka fi Mohammed]Qassim Univ, Coll Sci, Dept Math, Buraydah 51452, Saudi Arabia

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Source :

PROPULSION AND POWER RESEARCH

ISSN: 2212-540X

Year: 2023

Issue: 3

Volume: 12

Page: 428-442

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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