Study on the onset of nucleate boiling in narrow annular channel by genetic neural network |
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| Authors: | Huiming Wei G.H. SuW.X. Tian S.Z. QiuX.B. Yang |
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| Affiliation: | State Key Laboratory of Multiphase Flow in Power Engineering, Department of Nuclear Science and Technology, Xi''an Jiaotong University, Xi''an, 710049, China |
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| Abstract: | A study on ONB is performed by GNN in vertical narrow annuli with bilateral heating. Based on GA and ANN, a GNN model predicting qONB has been developed. The qONB prediction is investigated by GNN with distilled water flowing upward through narrow annuli with 0.95 mm, 1.5 mm and 2.0 mm gaps, respectively. The GNN prediction results have a good agreement with experimental data. A parametric study has been conducted to investigate the effects of system pressure, mass flux, wall superheat and geometrical structure on qONB by applying GNN. Simulation and analysis results show that GNN can effectually predict qONB. |
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| Keywords: | Onset nucleate boiling Genetic algorithm Genetic neural network Prediction |
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