Predicting the critical heat flux in concentric-tube open thermosiphon: a method based on support vector machine optimized by chaotic particle swarm optimization algorithm-Reference-Cited by-同舟云学术

Predicting the critical heat flux in concentric-tube open thermosiphon: a method based on support vector machine optimized by chaotic particle swarm optimization algorithm

Published:2012-03-06 Issue:8 Volume:48 Page:1425-1435
ISSN:0947-7411
Container-title:Heat and Mass Transfer
language:en
Short-container-title:Heat Mass Transfer

Author:

Cai Jiejin

Publisher

Springer Science and Business Media LLC

Subject

Fluid Flow and Transfer Processes,Condensed Matter Physics

Link

http://link.springer.com/content/pdf/10.1007/s00231-012-0991-0.pdf

Reference29 articles.

1. Tong LS, Tang YS (1997) Boiling heat transfer and two-phase flow. Taylor and Francis, Washington, DC

2. Imura H, Sasaguchi K, Kozai H, Numata S (1983) Critical heat flux in a closed two-phase thermosyphon. Int J Heat Mass Transf 26(8):1181–1188

3. Monde M, Mitsutake Y, Kubo S (1994) Critical heat flux during natural convective boiling in a vertical uniformly heated inner tubes in vertical annular tubes submerged in saturated liquid. Wärme Stoffübertrag 29(4):271–276

4. Mitsutake Y, Monde M, Hasan MZ, Kim W (1997) Experimental study of the critical heat flux in a two-phase open concentric-tube thermosyphon. Heat Transf Jpn Res 26(5):319–331

5. Islam MA, Monde M, Hasan MZ, Mitsutake Y (1998) Experimental study of critical heat flux in concentric-tube open thermosyphon. Int J Heat Mass Transf 41(23):3691–3704

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