Changsheng Zhu1,2,*, Borui Zhao1, Naranjo Villota Jose Luis1, Zihao Gao1, Li Feng3
CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 49-64, 2023, DOI:10.32604/cmc.2023.036729
Abstract In this study, a phase field model is established to simulate the microstructure formation during the solidification of dendrites by taking the Al-Cu-Mg ternary alloy as an example, and machine learning and deep learning methods are combined with the Kim-Kim-Suzuki (KKS) phase field model to predict the quasi-phase equilibrium. The paper first uses the least squares method to obtain the required data and then applies eight machine learning methods and five deep learning methods to train the quasi-phase equilibrium prediction models. After obtaining different models, this paper compares the reliability of the established models by using the test data and… More >
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