학술논문

Double-diffusive convective flow of hybrid nanofluid in an inverted T-shaped porous enclosure: A numerical study.
Document Type
Article
Source
Numerical Heat Transfer: Part A -- Applications. 2024, Vol. 85 Issue 9, p1456-1480. 25p.
Subject
*CONVECTIVE flow
*RAYLEIGH number
*NANOFLUIDS
*POROUS materials
*TRANSPORT equation
*NATURAL heat convection
*BUOYANCY
Language
ISSN
1040-7782
Abstract
In this numerical study, a two-dimensional double-diffusive convective flow of a hybrid nanofluid in an inverted T-shaped porous media has been thoroughly investigated. The governing equations comprise the generalized Darcy-Forchheimer-Brinkman-based model along with the heat and mass transport equations. Furthermore, a penalty finite element approach has been employed for numerical simulation of the evolved mathematical model at the broad range of pertinent influencing parameters, including buoyancy ratio (N), Lewis number (Le), Darcy number (Da), and porosity value (ϵ) as a function of Rayleigh number (Ra). The results and discussion have been demonstrated through the results variations of streamlines, isotherms, isoconcentration, mean Nusselt (Num), and Sherwood number (Shm) at the considered range of flow parameters. The results show that the smaller Ra ≤ 10 5 values remain insignificant for convective heat and mass transport efficiency, whereas augmentation of Ra ≥ 10 5 reinforces these flows. Moreover, higher Ra values help in studying the real influence of other pertinent parameters. The increasing value of ϵ and Da strengthen the convection fluid, heat, and solute transfer intensity. In the case of Lewis number, a notable effect on improving the solute transport rate is more dominant than the heat transport rate. Similarly, the flow regime of fluid and solute, as well as heat and mass transfer rate, are significantly influenced by ranging values of buoyancy ratio ( − 4 ≤ N ≤ 4 ). The buoyancy-added flow (N > 1) improves the convective strength of heat and mass flow rate more effectively than the buoyancy-opposed flow (N < 1). Furthermore, the variation of Num and Shm justify the results interpreted in each flow parameter. [ABSTRACT FROM AUTHOR]