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

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

doi:10.1016/j.icheatmasstransfer.2009.11.017

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

Huiming Wei
, G. H. Su
, W. X. Tian
, S. Z. Qiu
, X. B. Yang

School of Energy and Power Engineering

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

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 q_ONB has been developed. The q_ONB prediction is investigated by GNN with distilled water flowing upward through narrow annuli with 0.95mm, 1.5mm and 2.0mm 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.

Original language	English
Pages (from-to)	596-599
Number of pages	4
Journal	International Communications in Heat and Mass Transfer
Volume	37
Issue number	6
DOIs	https://doi.org/10.1016/j.icheatmasstransfer.2009.11.017
State	Published - Jul 2010

Keywords

Genetic algorithm
Genetic neural network
Onset nucleate boiling
Prediction

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10.1016/j.icheatmasstransfer.2009.11.017

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title = "Study on the onset of nucleate boiling in narrow annular channel by genetic neural network",

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 0.95mm, 1.5mm and 2.0mm 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.",

keywords = "Genetic algorithm, Genetic neural network, Onset nucleate boiling, Prediction",

author = "Huiming Wei and Su, \{G. H.\} and Tian, \{W. X.\} and Qiu, \{S. Z.\} and Yang, \{X. B.\}",

year = "2010",

month = jul,

doi = "10.1016/j.icheatmasstransfer.2009.11.017",

language = "英语",

volume = "37",

pages = "596--599",

journal = "International Communications in Heat and Mass Transfer",

issn = "0735-1933",

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}

TY - JOUR

T1 - Study on the onset of nucleate boiling in narrow annular channel by genetic neural network

AU - Wei, Huiming

AU - Su, G. H.

AU - Tian, W. X.

AU - Qiu, S. Z.

AU - Yang, X. B.

PY - 2010/7

Y1 - 2010/7

N2 - 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 0.95mm, 1.5mm and 2.0mm 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.

AB - 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 0.95mm, 1.5mm and 2.0mm 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.

KW - Genetic algorithm

KW - Genetic neural network

KW - Onset nucleate boiling

KW - Prediction

UR - https://www.scopus.com/pages/publications/77953535804

U2 - 10.1016/j.icheatmasstransfer.2009.11.017

DO - 10.1016/j.icheatmasstransfer.2009.11.017

M3 - 文章

AN - SCOPUS:77953535804

SN - 0735-1933

VL - 37

SP - 596

EP - 599

JO - International Communications in Heat and Mass Transfer

JF - International Communications in Heat and Mass Transfer

IS - 6

ER -

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

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Keywords

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