Prediction of CHF in concentric-tube open thermosiphon using artificial neural network and genetic algorithm

Heat and Mass Transfer/Waerme- und Stoffuebertragung

Volumn 46, Issue 3, 2010, Pages 345-353

  Chen, R H ^a   Su, G H ^a   Qiu, S Z ^a   Fukuda, Kenji ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b KYUSHU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BUBBLE SIZE; CRITICAL HEAT FLUX; DENSITY RATIO; EMPIRICAL CORRELATIONS; EXPERIMENTAL DATA; HEATED TUBES; INNER DIAMETERS; INPUT PARAMETER; MEAN RELATIVE ERROR; NEW CORRELATIONS;

FORECASTING; GENETIC ALGORITHMS; HEAT FLUX; TABLE LOOKUP; TUBES (COMPONENTS);

NEURAL NETWORKS;

EID: 77952009580     PISSN: 09477411     EISSN: 14321181     Source Type: Journal    
DOI: 10.1007/s00231-010-0575-9     Document Type: Article

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