Study on the onset of nucleate boiling in narrow annular channel by genetic neural network

✍ Scribed by Huiming Wei; G.H. Su; W.X. Tian; S.Z. Qiu; X.B. Yang

• Book ID: 103829924
• Publisher: Elsevier Science
• Year: 2010
• Tongue: English
• Weight: 461 KB
• Volume: 37
• Category: Article
• ISSN: 0735-1933
• DOI: 10.1016/j.icheatmasstransfer.2009.11.017

✦ Synopsis

A study on ONB is performed by GNN in vertical narrow annuli with bilateral heating. Based on GA and ANN, a GNN model predicting q ONB has been developed. The q ONB 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 q ONB by applying GNN. Simulation and analysis results show that GNN can effectually predict q ONB .