2013
DOI: 10.1016/j.jtice.2012.12.018
|View full text |Cite
|
Sign up to set email alerts
|

Effect of fin position and porosity on heat transfer improvement in a plate porous media heat exchanger

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
17
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 61 publications
(17 citation statements)
references
References 30 publications
0
17
0
Order By: Relevance
“…Here α m and υ m are given by Equations (8) and (9) and the effective viscosity and heat conductivity are given by Equations (1) and (2). The eddy viscosity is evaluated from the Prandtl-Kolmogorov relation: The turbulence kinetic energy production term is given as:…”
Section: Governing Equations For Cfd Simulationmentioning
confidence: 99%
See 1 more Smart Citation
“…Here α m and υ m are given by Equations (8) and (9) and the effective viscosity and heat conductivity are given by Equations (1) and (2). The eddy viscosity is evaluated from the Prandtl-Kolmogorov relation: The turbulence kinetic energy production term is given as:…”
Section: Governing Equations For Cfd Simulationmentioning
confidence: 99%
“…The focus of the present study is the non-circular cross-section's plate heat exchangers which are used extensively in various applications including in power generation and power recovery, the food industry, the chemical industry, refrigeration and air conditioning systems [1]. The compact design and the high energy efficiency of the plate heat exchangers have made them quite attractive [2]. Plain and corrugated plate heat exchangers with non-circular cross-sections have shown superior performance compared to other conventionally used heat exchangers such as concentric or double-pipe heat exchangers.…”
Section: Introductionmentioning
confidence: 99%
“…Methods based on the Lattice Boltzmann equations (LBE) have recently evolved as an approach to direct solutions of the macroscopic equations in porous media [15][16][17][18], nanofluid [19], phase change [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35], shock tube problem [36], droplet formation [37,38], turbulent natural convection [39] and so on [40][41][42]. Due to its particulate nature, the LBM has some benefits over the conventional Computational fluid dynamics (CFD) techniques such as handling complex boundaries and physical phenomena, the straightforward implementation on parallel machines, the incorporation of microscopic interactions and high speed of solving.…”
Section: Introductionmentioning
confidence: 99%
“…An example of pore-scale turbulent flow modelled using LBM is provided in [11], where four types of porous structures are considered. Unfortunately, despite the LBM offering some advantages, it still suffers in a similar manner to continuum approaches as a consequence of the complex geometries involved [17]. In order to represent better the types of complex geometries found in cellular material, the authors have investigated the use of fractals [2,18], which arise in many other areas of science [19] and play a part in describing a variety of behaviours in nonlinear systems [20].…”
Section: Introductionmentioning
confidence: 99%