A Machine Learning-based VOF Method for 2D Flowfield
The Deep Neural Network(DNN)is used to improve the Volume-of-Fluid(VOF)method in isoAdvector algorithm.Based on the Volume fraction in cell and at nodes,the two-phase interface can be reconstructed with high efficiency.The training set is generated and preprocessed by the original isoAdvector algorithm,which will reduce the difficulty of neural network training with high degree of accuracy.According to the volume conservation,the predicted data of the neural network are analytically corrected to complete the geometric reconstruction of the two-phase interface.The improved isoAdvector algorithm is used to simulate the 2D dam break by using OpenFOAM.The accuracy of the improved method is equivalent to the original one,and the computational efficiency is improved.
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