Periodical Analysis of Convective Heat Transfer Along Electrical Conducting Cone Embedded in Porous Medium

2021 ◽  
Author(s):  
Asifa Ilyas ◽  
Muhammad Ashraf ◽  
A. M. Rashad
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Electrical Conducting

CONVECTIVE HEAT TRANSFER AND FLUID FLOW ANALYSIS IN A HELICAL MICROCHANNEL FILLED WITH A POROUS MEDIUM

2015 ◽  
Vol 18 (8) ◽  
pp. 791-800 ◽  
Author(s):  
K. Narrein ◽  
Sivanandam Sivasankaran ◽  
P Ganesan
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Fluid Flow ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Flow Analysis ◽  
Fluid Flow Analysis ◽  
Helical Microchannel

scholarly journals Data-Driven Reduced-Order Modeling of Convective Heat Transfer in Porous Media

Fluids ◽  
2021 ◽  
Vol 6 (8) ◽  
pp. 266
Author(s):  
Péter German ◽  
Mauricio E. Tano ◽  
Carlo Fiorina ◽  
Jean C. Ragusa
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Porous Media ◽  
Steady State ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Data Driven ◽  
Reduced Order ◽  
Medium Formulation ◽  
Flow Resistances

This work presents a data-driven Reduced-Order Model (ROM) for parametric convective heat transfer problems in porous media. The intrusive Proper Orthogonal Decomposition aided Reduced-Basis (POD-RB) technique is employed to reduce the porous medium formulation of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations coupled with heat transfer. Instead of resolving the exact flow configuration with high fidelity, the porous medium formulation solves a homogenized flow in which the fluid-structure interactions are captured via volumetric flow resistances with nonlinear, semi-empirical friction correlations. A supremizer approach is implemented for the stabilization of the reduced fluid dynamics equations. The reduced nonlinear flow resistances are treated using the Discrete Empirical Interpolation Method (DEIM), while the turbulent eddy viscosity and diffusivity are approximated by adopting a Radial Basis Function (RBF) interpolation-based approach. The proposed method is tested using a 2D numerical model of the Molten Salt Fast Reactor (MSFR), which involves the simulation of both clean and porous medium regions in the same domain. For the steady-state example, five model parameters are considered to be uncertain: the magnitude of the pumping force, the external coolant temperature, the heat transfer coefficient, the thermal expansion coefficient, and the Prandtl number. For transient scenarios, on the other hand, the coastdown-time of the pump is the only uncertain parameter. The results indicate that the POD-RB-ROMs are suitable for the reduction of similar problems. The relative L2 errors are below 3.34% for every field of interest for all cases analyzed, while the speedup factors vary between 54 (transient) and 40,000 (steady-state).

Natural convective heat transfer in a hemispherical cavity filled with ZnO–H2O nanofluid saturated porous medium

2018 ◽  
Vol 29 (10) ◽  
pp. 1850097 ◽  
Author(s):  
Abderrahmane Baïri ◽  
Najib Laraqi
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Nusselt Number ◽  
Rayleigh Number ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Volume Fraction ◽  
Saturated Porous Medium ◽  
Physical Parameters ◽  
Numerical Work

This three-dimensional (3D) numerical work based on the volume control method quantifies the convective heat transfer occurring in a hemispherical cavity filled with a ZnO–H2O nanofluid saturated porous medium. Its main objective is to improve the cooling of an electronic component contained in this enclosure. The volume fraction of the considered monophasic nanofluid varies between 0% (pure water) and 10%, while the cupola is maintained isothermal at cold temperature. During operation, the active device generates a heat flux leading to high Rayleigh number reaching [Formula: see text] and may be inclined with respect to the horizontal plane at an angle ranging from 0[Formula: see text] to 180[Formula: see text] (horizontal position with cupola facing upwards and downwards, respectively) by steps of 15[Formula: see text]. The natural convective heat transfer represented by the average Nusselt number has been quantified for many configurations obtained by combining the tilt angle, the Rayleigh number, the nanofluid volume fraction and the ratio between the thermal conductivity of the porous medium’s solid matrix and that of the base fluid. This ratio has a significant influence on the free convective heat transfer and ranges from 0 (without porous media) to 70 in this work. The influence of the four physical parameters is analyzed and commented. An empirical correlation between the Nusselt number and these parameters is proposed, allowing determination of the average natural convective heat transfer occurring in the hemispherical cavity.

Effect of porosity on natural convective heat transfer in a fluid saturated porous medium

1998 ◽  
Vol 19 (1) ◽  
pp. 56-58 ◽  
Author(s):  
P. Nithiarasu ◽  
K.N. Seetharamu ◽  
T. Sundararajan
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Saturated Porous Medium ◽  
Fluid Saturated Porous Medium

Melting effect on convective heat transfer from a vertical plate embedded in a non-Darcy porous medium with variable permeability

2016 ◽  
Vol 27 (2) ◽  
pp. 417-425 ◽  
Author(s):  
Peri K. Kameswaran ◽  
K. Hemalatha ◽  
M.V.D.N.S. Madhavi
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Vertical Plate ◽  
Variable Permeability ◽  
Melting Effect

Transient natural convective heat transfer in porous medium with solidification of binary mixture

2012 ◽  
Vol 39 (8) ◽  
pp. 1132-1137 ◽  
Author(s):  
W.T. Cheng ◽  
E.N. Huang ◽  
M.H. Chuo ◽  
S.W. Du
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Binary Mixture ◽  
Convective Heat Transfer ◽  
Convective Heat

DRBEM solution of natural convective heat transfer with a non-Darcy model in a porous medium

2014 ◽  
Vol 53 (3) ◽  
pp. 911-924 ◽  
Author(s):  
B. Pekmen ◽  
M. Tezer-Sezgin
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Darcy Model
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