199
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Single-Phase Forced Convection in Microchannels with Carbon Nanotubes for Electronics Cooling Applications

&
Pages 251-271 | Received 03 Mar 2008, Accepted 18 Apr 2008, Published online: 04 Sep 2008
 

Abstract

A comparative experimental study was conducted to determine whether it would be advantageous to grow carbon nanotubes on the bottom surface of silicon microchannels to facilitate greater heat removal in electronics cooling applications. The performance was evaluated based on the surface temperature increase above the inlet coolant temperature and the pressure drop. The height and deposition pattern of the nanotubes were parameters investigated in this study. Water was passed through the microchannels at two volumetric flow rates of 2.7 × 10−7 m3/s and 4.7 × 10−7 m3/s. Additionally, two heat fluxes were applied to the back side of the microchannel (10 W/cm2 and 30 W/cm2). For the devices tested, the samples with carbon nanotubes not only had a higher pressure drop but also had a higher surface temperature. Based on a continuum investigation, the increase in thermal performance gained by increasing the surface area is overshadowed by the decrease in mass flow rate for a fixed pressure drop.

The authors thank Samuel Graham, Jud Ready, and Stephan Turano for their help with carbon nanotube growth, Qihong Nie for assistance with numerical modeling, and Brent Buchine for assistance with scanning electron microscopy. Support from the National Science Foundation and Sandia National Laboratories, through grant CBET 0625865, is acknowledged.

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.