351. 乙醇液滴撞击高温壁面蒸发过程的模拟预测研究.
- Author
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马小晶, 周鑫, 吐松江·卡日, and 许瀚文
- Subjects
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MACHINE learning , *CONTACT angle , *HIGH temperatures , *PREDICTION models , *EBULLITION , *ETHANOL - Abstract
The coupled level set and volume of fluid (CLSVOF) method was used to establish a numerical model for ethanol droplets impacting high temperature wall through introduction of the dynamic contact angle to describe the wetting characteristics of the wall surface. The boiling and evaporation process of ethanol droplets impacting high temperature wall was studied and compared with the experimental data. The results show that, at a fixed droplet temperature, the higher the wall temperature is, the stronger the hydrophilicity will be, and the faster the impacting velocity of ethanol droplet is, the earlier the droplet will boil and the shorter the evaporation time will be. Based on this, a prediction model for droplet evaporation was established with the machine learning algorithm, to study the change of the evaporation residual with time after the ethanol droplet collision with the high temperature wall. The optimal prediction model was selected through comparison of the prediction results of different machine learning algorithms with the simulation results. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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