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Volumn 1, Issue , 2010, Pages 362-366

Local flow regime identification for boiling two-phase flow by BP neural networks approach

Author keywords

Boiling two phase flow; BP neural network; Flow regime; Fractal

Indexed keywords


EID: 78149341620     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2010.5583827     Document Type: Conference Paper
Times cited : (3)

References (6)
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    • (1999) Applied Thermal Engineering , vol.29 , pp. 3600-3617
    • Tan, C.K.1    Ward, J.2    Wilcox, S.J.3    Payne, R.4
  • 2
    • 37749012740 scopus 로고    scopus 로고
    • Upward vertical two-phase flow local flow regime identification using neural network techniques
    • J. Enrique Julia, Yang Liu, Sidharth Paranjape and Mamoru Ishii. "Upward vertical two-phase flow local flow regime identification using neural network techniques," Nuclear Engineering and Design, vol. 238, pp. 156-169, 2008.
    • (2008) Nuclear Engineering and Design , vol.238 , pp. 156-169
    • Julia, J.E.1    Liu, Y.2    Paranjape, S.3    Ishii, M.4
  • 3
    • 0035248514 scopus 로고    scopus 로고
    • Flow regime identification methodology with neural networks and two-phase flow models
    • Mi, Y., Ishii, M., Tsoukalas and L.H., "Flow regime identification methodology with neural networks and two-phase flow models," Nuclear Engineering and Design., vol. 204, pp. 87-100, 2001.
    • (2001) Nuclear Engineering and Design , vol.204 , pp. 87-100
    • Mi, Y.1    Ishii, M.2    Tsoukalas, L.H.3
  • 4
    • 2542419872 scopus 로고    scopus 로고
    • Artifical neural network approach for flow regime classification in gas-liquid-fiber flows based on frequency domain analysis of pressure signals
    • T. Xie, S.M. Ghiaasiaan and S. Karrila. "Artifical neural network approach for flow regime classification in gas-liquid-fiber flows based on frequency domain analysis of pressure signals," Chemical Engineering Science, vol. 59, pp. 2241-2251, 2004.
    • (2004) Chemical Engineering Science , vol.59 , pp. 2241-2251
    • Xie, T.1    Ghiaasiaan, S.M.2    Karrila, S.3
  • 5
    • 0346734327 scopus 로고    scopus 로고
    • Flow regime identification in gas-liquid-pulp fiber slurry flows based on pressure fluctuations using artificial neural networks
    • (b)
    • Xie, T., Ghiaasiaan, S.M. and Karrila, S. "Flow regime identification in gas-liquid-pulp fiber slurry flows based on pressure fluctuations using artificial neural networks," Industrial and engineering Chemistry Research, vol. 42, pp. 7017-7024, 2003(b).
    • (2003) Industrial and Engineering Chemistry Research , vol.42 , pp. 7017-7024
    • Xie, T.1    Ghiaasiaan, S.M.2    Karrila, S.3
  • 6
    • 14844347301 scopus 로고    scopus 로고
    • Application of improved BP neural network in identification of air-water two-phase flow patterns
    • Zhou Yunlong, sun Bin and lu Jun. "Application of improved BP neural network in identification of air-water two-phase flow patterns," Journal of Chemical Industry and Engineering (china), vol. 56, pp. 110-115, 2005.
    • (2005) Journal of Chemical Industry and Engineering (China) , vol.56 , pp. 110-115
    • Zhou, Y.1    Sun, B.2    Lu, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.