Experimental Investigation and Modeling of Bubble Departure Frequency for Pool-Boiling Heat Transfer,Chemical Engineering & Technology

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Experimental Investigation and Modeling of Bubble Departure Frequency for Pool-Boiling Heat Transfer
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2022-08-22 , DOI: 10.1002/ceat.202100624
Samane Hamzekhani ₁ , Farhad Shahraki ₁ , Davod Mohebbi-Kalhori ₁ , Mohammad Reza Fardinpour _{1,

2}

Affiliation

The artificial neural network (ANN) method and response surface methodology (RSM) were used to predict the bubble departure frequency for the pool-boiling heat transfer of pure liquids, by using experimental data. The effects of vapor-liquid density difference, vapor-liquid viscosity difference, surface tension, thermal conductivity, and heat flux on the departure frequency of vapor bubbles were investigated by RSM and ANN. The results showed that the outputs of the ANN and RSM had a suitable overlap with the experimental data, but the RSM model was more accurate than the ANN model.

中文翻译：

池沸腾传热气泡离开频率的实验研究与建模

采用人工神经网络（ANN）法和响应面法（RSM），利用实验数据预测纯液体池沸腾传热的气泡离开频率。采用RSM和ANN研究了汽液密度差、汽液粘度差、表面张力、导热系数和热通量对汽泡离开频率的影响。结果表明，ANN和RSM的输出与实验数据有适当的重叠，但RSM模型比ANN模型更准确。

更新日期：2022-08-22

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