263
Views
10
CrossRef citations to date
0
Altmetric
Original Articles

Investigation of Fluid Flow and Heat Transfer Characteristics of Gases in Microchannels with Consideration of Different Roughness Shapes at Slip Flow Regime

&
Pages 137-151 | Received 27 Apr 2009, Published online: 25 Aug 2010
 

Abstract

In this article, the effect of roughness shape on heat transfer and friction factor in microchannel flows is studied by numerical simulation of fluid flow and heat transfer in microchannels applying slip and temperature jump boundary conditions. The roughness is directly simulated with microelements of different shapes. Triangular peaks with periodic and random distributions are used to demonstrate the effect of roughness shape and distribution on Poiseuille and Nusselt numbers. Also, pressure gradients and surface heat fluxes are used to analyze the important parameters of fluid flow and heat transfer. Furthermore, rectangular and trapezoidal roughness elements have been used to compare the results with recently reported studies. Considering the fact that triangular roughness is a better model for the true geometry in a channel, it is found that changes in roughness shapes from triangular to rectangular or trapezoidal elements have a considerable effect on fluid flow and heat transfer characteristics. Results of this investigation show that Nusselt number is more sensitive to the roughness density than the roughness shape.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 577.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.