2015
DOI: 10.1016/j.applthermaleng.2015.04.001
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Influence of wall roughness models on fluid flow and heat transfer in microchannels

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Cited by 72 publications
(21 citation statements)
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“…The axial heat transfer, surface roughness, viscous heating are also negligible. Wavy channel [9][10][11][12], branched channel [13][14][15], ribs, fins or rough elements [16][17][18][19] (such as triangular, rectangular, dimple elements and so on) have also been investigated, the rough elements method can strengthen the convection heat transfer without large pressure penalty and is a possible low-cost solution.…”
Section: Introductionmentioning
confidence: 99%
“…The axial heat transfer, surface roughness, viscous heating are also negligible. Wavy channel [9][10][11][12], branched channel [13][14][15], ribs, fins or rough elements [16][17][18][19] (such as triangular, rectangular, dimple elements and so on) have also been investigated, the rough elements method can strengthen the convection heat transfer without large pressure penalty and is a possible low-cost solution.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the platform, several assumptions given below were taken to make the mathematical models more reasonable and simpler [16]. The steady-state conservation equations for mass, momentum and energy in fluid are given by:…”
Section: Mathematical Modelmentioning
confidence: 99%
“…As a result, a significant increase in Poiseuille number was detected for all the configurations considered, while the effect of roughness on the average Nusselt number was smaller and highly dependent on the tube shape. Guo et al [16] proposed a novel and effective rough surface model, namely the Gauss model, to disclose the fluid flowing and thermal performance in microchannels with roughness. The results obviously showed that both the Poiseuille number and average Nusselt number of all the models increased with the growing of average roughness.…”
Section: Introductionmentioning
confidence: 99%
“…They proposed a theoretical model for apparent friction factor and the model was validated with their experimental data and results available in the literature. Guo et al (2015) numerically analyzed the influence of wall roughness models on fluid flow and heat transfer in microchannels and proposed more efficient and convenient 3D Gauss model to describe fluid flow and thermal performance. The results proved that roughness has a positive effect on friction factor even in the laminar flow region.…”
Section: Introductionmentioning
confidence: 99%
“…The assumptions used for the analysis are (1) steady, laminar, incompressible flow, (2) constant physical properties and (3) no-slip condition at the wall. The numerical study of Guo et al (2015) reveals that noslip velocity condition is a reasonable assumption for modeling fluid flow over the structured rough surface.…”
mentioning
confidence: 98%