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Volume 31 Issue S1
Dec.  2010
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CHEN Rong-hua, SU Guang-hui, QIU Sui-zheng. Study on Pool Boiling and Flow Boiling with Artificial Neural Networks[J]. Nuclear Power Engineering, 2010, 31(S1): 49-52.
Citation: CHEN Rong-hua, SU Guang-hui, QIU Sui-zheng. Study on Pool Boiling and Flow Boiling with Artificial Neural Networks[J]. Nuclear Power Engineering, 2010, 31(S1): 49-52.

Study on Pool Boiling and Flow Boiling with Artificial Neural Networks

  • Received Date: 2009-10-14
  • Rev Recd Date: 2010-03-07
  • Available Online: 2025-07-31
  • In this paper,two artificial neural networks (ANNs) are trained successfully to predict the CHF of thermosyphon and heat transfer coefficient of pool nucleate boiling respectively. The root mean square of predicated value are 16.43% and 19.57%,respectively. The analysis results indicate that CHF would be improved by inserting an inner tube in the thermosyphon. CHF increases initially as inner tube diameter increases and then decreases with the further increase of inner tube diameter. The heat transfer coefficient of pool nucleate boiling increases linearly as pressure increases,and when the pressure is close to the critical pressure,the increasing rate increases.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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