Unsteady mixed convection nonlinear radiative Casson nanofluid flow with convective boundary condition, heat source and inclined magnetic field effects

• Autorzy: Unyong Bundit , Govindaraju Mathialagan , Gunasekaran Nallappan , Vadivel Rajarathinam

Identyfikatory

DOI

10.17512/jamcm.2021.3.06

• Języki publikacji: EN

Abstrakty

EN

In this paper, we have studied the effect of heat source/sink on unsteady Casson nanofluid past a stretching surface with mixed convection inclined magnetic field and nonlinear thermal radiation numerically. Brownian and thermophoresis effects are studied in this nanofluid model (Buongiorno’s). The governing momentum, energy, and concentration equations are PDEs that are changed into ordinary differential equations by means of suitable transformations. The fourth-order R-K method with shooting technique is adapted to yield the results of this work. The velocity, thermal, and concentration profiles are discussed with the several physical parameters. Also, skin friction, the Nusselt number, and the Sherwood number are examined with the help of the table. It is found that the enhancing value of the unsteady parameter and heat sink parameters reduce the fluid temperature, and the enhancing value of the Casson parameter and heat source parameters increase the fluid temperature. The increasing value of the inclined magnetic field parameter enhances the thermal boundary layer thickness.

Słowa kluczowe

EN

Casson nanofluid; inclined magnetic field; convective boundary conditions; nonlinear thermal radiation

PL

nachylone pole magnetyczne; konwekcyjne warunki brzegowe; promieniowanie cieplne

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2021
• Tom: Vol. 20, nr 3
• Strony: 65--76
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Unyong Bundit

• Department of Mathematics, Phuket Rajabhat University, Phuket-83000, Thailand

autor

Govindaraju Mathialagan

• Department of Mathematics, Padmavani Arts and Science College for Women, Salem, Periyar University, Tamil Nadu, India

autor

Gunasekaran Nallappan

• Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya,468-8511, Japan

autor

Vadivel Rajarathinam

• Department of Mathematics, Phuket Rajabhat University, Phuket-83000, Thailand

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).