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Experimental and theoretical study on transition boiling concerning downward-facing horizontal surface in confined space

机译:密闭空间内朝下水平面过渡沸腾的实验和理论研究

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摘要

Experimental study has been conducted to examine the pool boiling occurs on a relative large downward-facing round surface with a diameter of 300 mm in confined water pool at atmospheric pressure. An artificial neural network (ANN) has been trained successfully based on the experimental data for predicting Nusselt number of transition boiling in the present study. The input parameters of the ANN are wall superheat, ΔT_w, the ratio of the gap size to the diameter of the heated surface, δ/D, Prandtl number and Rayleigh number. The output is Nusselt number, Nu. The results show that: Nu decreases with increasing ΔT_w, and increases generally with an increase of δ/D. Nu increases with increasing Pr when gap size is smaller than 4.0 mm. And Nu decreases initially and then increases with increasing Pr as gap size bigger than 5.0 mm. The results also indicate that the influence of Grashof number, Gr, could be negligible. Finally, a new correlation was proposed to predict the transition boiling heat transfer under the present condition. The comparisons between the prediction of the new correlation and experimental data show a reasonable agreement.
机译:已经进行了实验研究,以检查在大气压下承压水池中直径300mm的较大的朝下的圆形表面上发生的水池沸腾。在本研究中,已经基于实验数据成功地训练了人工神经网络(ANN),以预测Nusselt过渡沸腾的数目。 ANN的输入参数是壁过热ΔT_w,间隙尺寸与被加热表面直径的比率,δ/ D,普朗特数和瑞利数。输出为努塞尔特数Nu。结果表明:Nu随着ΔT_w的增加而减小,并且通常随着δ/ D的增加而增加。当间隙尺寸小于4.0mm时,Nu随着Pr的增加而增加。当间隙尺寸大于5.0 mm时,Nu开始下降,然后随着Pr的增加而增加。结果还表明,Grashof数Gr的影响可以忽略不计。最后,提出了一种新的相关性来预测当前条件下的沸腾过渡传热。新的相关性的预测与实验数据之间的比较显示出合理的一致性。

著录项

  • 来源
    《Nuclear Engineering and Design》 |2008年第9期|p.2460-2467|共8页
  • 作者单位

    State Key Laboratory of Multiphase Flow in Power Engineering, Department of Nuclear Science and Technology, Xi'an Jiaotong University 710049, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 原子能技术;
  • 关键词

  • 入库时间 2022-08-18 00:45:40

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