Review of micro and mini channels, porous heat sinks with hydrophobic surfaces for single phase fluid flow

2022 ◽  
pp. 104186
Author(s):  
Asif Khan ◽  
Fazle Hadi ◽  
Naveed Akram ◽  
Muhammad Anser Bashir ◽  
Hafiz Muhammad Ali ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Single Phase ◽  
Heat Sinks ◽  
Hydrophobic Surfaces ◽  
Mini Channels ◽  
Phase Fluid

A Numerical Algorithm for Single Phase Fluid Flow in Elastic Porous Media

2007 ◽  
pp. 80-92 ◽  
Author(s):  
Hongsen Chen ◽  
Richard E. Ewing ◽  
Stephen L. Lyons ◽  
Guan Qin ◽  
Tong Sun ◽  
...  
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Numerical Algorithm ◽  
Single Phase ◽  
Phase Fluid

The Impact of Pore Size and Pore Connectivity on Single-Phase Fluid Flow in Porous Media

2010 ◽  
Vol 13 (3) ◽  
pp. 208-215 ◽  
Author(s):  
Zeyun Jiang ◽  
Kejian Wu ◽  
Gary D. Couples ◽  
Jingsheng Ma
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Pore Size ◽  
Single Phase ◽  
Flow In Porous Media ◽  
Pore Connectivity ◽  
The Impact ◽  
Phase Fluid

Single-phase fluid flow equations in multidimensional domain

2020 ◽  
pp. 7-44
Author(s):  
Jamal H. Abou-Kassem ◽  
M. Rafiqul Islam ◽  
S.M. Farouq Ali
Keyword(s):  
Fluid Flow ◽  
Single Phase ◽  
Flow Equations ◽  
Phase Fluid ◽  
Multidimensional Domain

scholarly journals Prediction of pressure drop for turbulent fluid flow in 90° bends

2003 ◽  
Vol 217 (3) ◽  
pp. 153-155 ◽  
Author(s):  
N M Crawford ◽  
G Cunningham ◽  
P L Spedding
Keyword(s):  
Fluid Flow ◽  
Pressure Drop ◽  
Single Phase ◽  
Number Range ◽  
Turbulent Fluid Flow ◽  
Pressure Losses ◽  
Turbulent Reynolds Number ◽  
Proposed Model ◽  
Future Work ◽  
Phase Fluid

The pressure drop for turbulent single-phase fluid flow around sharp 90° pipe bends has proven to be difficult to predict owing to the complexity of the flow arising from frictional and separation effects. Existing models accurately predict the frictional effects, but no precise models are available to predict the flow due to separation. It is the purpose of this work to propose a model capable of such prediction. The proposed model is presented and added to an existing model to predict pressure losses over the turbulent Reynolds number range up to 3 × 105. The predicted data is within a spread of + 3 to − 2 per cent of existing experimental data. Future work will validate this model experimentally and computationally

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