基于热力学计算与机器学习的增材制造镍基高温合金裂纹敏感性预测模型

穆亚航, 张雪, 陈梓名, 孙晓峰, 梁静静, 李金国, 周亦胄

Modeling of Crack Susceptibility of Ni-Based Superalloy for Additive Manufacturing via Thermodynamic Calculation and Machine Learning

MU Yahang, ZHANG Xue, CHEN Ziming, SUN Xiaofeng, LIANG Jingjing, LI Jinguo, ZHOU Yizhou

图8 机器学习(ML)模型对不同裂纹敏感性系数在训练集中的拟合效果

Fig.8 Performance of machine learning (ML) models on training and test sets for different crack susceptibility criteria (a) FR (b) CSC (c) HSC (d) SCI