Open Access System for Information Sharing

Login Library

 

Article
Cited 45 time in webofscience Cited 53 time in scopus
Metadata Downloads

Enhanced heat transfer is dependent on thickness of graphene films: the heat dissipation during boiling SCIE SCOPUS

Title
Enhanced heat transfer is dependent on thickness of graphene films: the heat dissipation during boiling
Authors
Ho Seon AhnJin Man KimTaeJoo KimSu Cheong ParkJi Min KimYoungjae ParkDong In YuKyoung Won HwangHangJin JoHyun Sun ParkHyungdae KimKim, MH
Date Issued
2014-09-03
Publisher
NATURE PUBLISHING GROUP
Abstract
Boiling heat transfer (BHT) is a particularly efficient heat transport method because of the latent heat associated with the process. However, the efficiency of BHT decreases significantly with increasing wall temperature when the critical heat flux (CHF) is reached. Graphene has received much recent research attention for applications in thermal engineering due to its large thermal conductivity. In this study, graphene films of various thicknesses were deposited on a heated surface, and enhancements of BHT and CHF were investigated via pool-boiling experiments. In contrast to the well-known surface effects, including improved wettability and liquid spreading due to micron-and nanometer-scale structures, nanometer-scale folded edges of graphene films provided a clue of BHT improvement and only the thermal conductivity of the graphene layer could explain the dependence of the CHF on the thickness. The large thermal conductivity of the graphene films inhibited the formation of hot spots, thereby increasing the CHF. Finally, the provided empirical model could be suitable for prediction of CHF.
URI
https://oasis.postech.ac.kr/handle/2014.oak/12903
DOI
10.1038/SREP06276
ISSN
2045-2322
Article Type
Article
Citation
SCIENTIFIC REPORTS, vol. 4, page. 6276, 2014-09-03
Files in This Item:

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Views & Downloads

Browse