2023年12月12日　講演会「Prediction of void fraction in a horizontal smooth tube based on optimized ANN and performance comparison with empirical correlations」早稲田大学 理工学術院総合研究所 次席研究員 キム・チョルファン様

Summary:
In this study, the ANN approach was employed to develop a prediction model for void fraction in a horizontal smooth tube. A proposed ANN architecture was optimized in input parameters and grids with 1319 data, which shows better prediction performance, especially in low void fraction regions, compared to empirical models.

講師紹介：

Name                  : Cheol-Hwan Kim

Educational background:

開催形式：オンライン