Transient nanofluid squeezing cooling process using aluminum oxide nanoparticle

2019 ◽  
Vol 30 (11) ◽  
pp. 1950078 ◽  
Author(s):  
Iskander Tlili ◽  
R. Moradi ◽  
M. Barzegar Gerdroodbary
Keyword(s):  
Parallel Plate ◽  
Analytical Investigation ◽  
Eckert Number ◽  
Computational Studies ◽  
Cooling Process ◽  
Flow And Heat Transfer ◽  
Oxide Nanoparticle ◽  
Squeeze Number ◽  
Squeezed Flow ◽  
Thermal Feature

Computational studies have been widely applied for the thermal evaluation of the nanomaterial thermal feature in different industrial and scientific issues. The squeezed flow and heat transfer features for Al2O3-water nanofluid among analogous plates are investigated using the GOHAM and its validity is verified by comparison with existing numerical results. Novel aspects of Brownian motion and thermal force were accounted in the simulation of nanomaterial flow within parallel plate. Analytical investigation has been done for diverse governing factors namely: the squeeze, chemical reaction factors and Eckert number. The obtained outcomes show that [Formula: see text] has direct relationship with absolute values of squeeze factor. Nu increases for large Eckert number and absolute values of squeeze number.

scholarly journals Fluid Flow and Heat Transfer in a Parallel Plate Duct Containing a Cylinder

1981 ◽  
Vol 24 (196) ◽  
pp. 1795-1802 ◽  
Author(s):  
Kenyu OYAKAWA ◽  
Ikuo MABUCHI
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Parallel Plate ◽  
Flow And Heat Transfer

scholarly journals Analytical Study of Heat Transfer of a Unsteady Newtonian Nanofluid Flow Problem

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Heat Transfer ◽  
Volume Fraction ◽  
Skin Friction Coefficient ◽  
Parallel Plates ◽  
Nanofluid Flow ◽  
Shooting Technique ◽  
Flow And Heat Transfer ◽  
Transfer Behavior ◽  
Basic Equations ◽  
Squeeze Number

Heat transfer behavior of unsteady flow of squeezing nanofluid (Copper+water) between two parallel plates is investigated. By using the appropriate transformation for the velocity and temperature, the basic equations governing the flow and heat transfer were reduced to a set of ordinary differential equations. These equations subjected to the associated boundary conditions were solved analytically using Homotopy Perturbation Method and numerically using Runge-Kutta-Fehlberg method with shooting technique. Effects on the behavior of velocity and temperature for various values of relevant parameters are illustrated graphically. The skin-friction coefficient, heat transfer and Nusselt number rate are also tabulated for various governing parameters. The results indicate that, for nanofluid flow, the rates of heat transfer and velocity had direct relationship with squeeze number and nanoparticle volume fraction they are also a decreasing function of those parameters

scholarly journals Heat Transfer Analysis of Two Pass Cooling Channel of Gas Turbine Blade With Analytical Wall Function Turbulence Approach

2013 ◽  
Author(s):  
Hitoshi Arakawa ◽  
Shaohua Shen ◽  
Ryo S. Amano
Keyword(s):  
Heat Transfer ◽  
Reynolds Number ◽  
Heat Transfer Analysis ◽  
Computational Studies ◽  
Cooling Channel ◽  
Wall Function ◽  
Square Duct ◽  
Flow And Heat Transfer ◽  
Predicting Performance ◽  
Function Models

This paper reports experimental and computational studies of flow and heat transfer through a square duct with a sharp 180 degree turn. The main purpose of this research is to study flow and heat transfer predictions of the Analytical Wall-Function (AWF). To compare the predicting performance of the AWF, the standard Log-Law Wall-Function (LWF) and Low-Reynolds-number (LRN) k-ε model were applied. Their results were also compared with the experimental results for validation. In addition, three extended forms of the AWF were tested. Computational results showed better agreement with the experimental data, especially after the turn of the channel. It was also found that the wall-function (WF) models predicted more reasonable results as Reynolds number increased. The both wall-function models predicted similar results except for separation/reattachment regions where the LWF predicted lower Nusselt number than the other models.

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