TY - JOUR
T1 - Prediction of CHF in concentric-tube open thermosiphon using artificial neural network and genetic algorithm
AU - Chen, R. H.
AU - Su, G. H.
AU - Qiu, S. Z.
AU - Fukuda, Kenji
PY - 2010/3
Y1 - 2010/3
N2 - In this paper, an artificial neural network (ANN) for predicting critical heat flux (CHF) of concentric-tube open thermosiphon has been trained successfully based on the experimental data from the literature. The dimensionless input parameters of the ANN are density ratio, ρ l/ρ v; the ratio of the heated tube length to the inner diameter of the outer tube, L/D i; the ratio of frictional area, d i/(D i + d o); and the ratio of equivalent heated diameter to characteristic bubble size, D he/ [σ/g(ρ l-ρ v)]0.5, the output is Kutateladze number, Ku. The predicted values of ANN are found to be in reasonable agreement with the actual values from the experiments with a mean relative error (MRE) of 8.46%. New correlations for predicting CHF were also proposed by using genetic algorithm (GA) and succeeded to correlate the existing CHF data with better accuracy than the existing empirical correlations.
AB - In this paper, an artificial neural network (ANN) for predicting critical heat flux (CHF) of concentric-tube open thermosiphon has been trained successfully based on the experimental data from the literature. The dimensionless input parameters of the ANN are density ratio, ρ l/ρ v; the ratio of the heated tube length to the inner diameter of the outer tube, L/D i; the ratio of frictional area, d i/(D i + d o); and the ratio of equivalent heated diameter to characteristic bubble size, D he/ [σ/g(ρ l-ρ v)]0.5, the output is Kutateladze number, Ku. The predicted values of ANN are found to be in reasonable agreement with the actual values from the experiments with a mean relative error (MRE) of 8.46%. New correlations for predicting CHF were also proposed by using genetic algorithm (GA) and succeeded to correlate the existing CHF data with better accuracy than the existing empirical correlations.
UR - http://www.scopus.com/inward/record.url?scp=77952009580&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952009580&partnerID=8YFLogxK
U2 - 10.1007/s00231-010-0575-9
DO - 10.1007/s00231-010-0575-9
M3 - Article
AN - SCOPUS:77952009580
SN - 0947-7411
VL - 46
SP - 345
EP - 353
JO - Heat and Mass Transfer/Waerme- und Stoffuebertragung
JF - Heat and Mass Transfer/Waerme- und Stoffuebertragung
IS - 3
ER -