新型钴基与Nb-Si基高温合金扩散动力学研究进展

刘兴军, 魏振帮, 卢勇, 韩佳甲, 施荣沛, 王翠萍

Progress on the Diffusion Kinetics of Novel Co-based and Nb-Si-based Superalloys

LIU Xingjun, WEI Zhenbang, LU Yong, HAN Jiajia, SHI Rongpei, WANG Cuiping

图2 基于机器学习算法构建固溶体相扩散数据预测模型的流程图[67]

Fig.2 Flow diagram of the implementation of machine-learning for predicting the diffusion coefficients in bcc, fcc, and hcp phases[67] (R—gas constant, T—temperature, D—diffusion coefficient)