新型钴基高温合金多尺度设计的研究现状与展望
刘兴军1,2,3(
),陈悦超3,卢勇3,韩佳甲3,许伟伟3,郭毅慧3,于金鑫3,魏振帮3,王翠萍3()
),陈悦超3,卢勇3,韩佳甲3,许伟伟3,郭毅慧3,于金鑫3,魏振帮3,王翠萍3()
Present Research Situation and Prospect of Multi-Scale Design in Novel Co-Based Superalloys: A Review
LIU Xingjun1,2,3(),CHEN Yuechao3,LU Yong3,HAN Jiajia3,XU Weiwei3,GUO Yihui3,YU Jinxin3,WEI Zhenbang3,WANG Cuiping3()
),CHEN Yuechao3,LU Yong3,HAN Jiajia3,XU Weiwei3,GUO Yihui3,YU Jinxin3,WEI Zhenbang3,WANG Cuiping3()
图15. 各算法(最小二乘法、支持向量机、人工神经网络及随机森林)对新型钴基高温合金γ'固溶温度的预测情况[
Fig.15. Predicting results of the regression models including ordinary least square (OLS) (a), support vector regression (SVR) (b), artificial neural network (ANN) (c) and random forest (RF) (d)[
