Accelerated Design of High γ′ Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram
oleh: Cuiping Wang, Cuiping Wang, Xin Chen, Xin Chen, Yuechao Chen, Yuechao Chen, Jinxin Yu, Jinxin Yu, Wensu Cai, Wensu Cai, Zhongfeng Chen, Zhongfeng Chen, Xiang Yu, Xiang Yu, Yingju Li, Yuansheng Yang, Xingjun Liu, Xingjun Liu, Xingjun Liu, Xingjun Liu
| Format: | Article |
|---|---|
| Diterbitkan: | Frontiers Media S.A. 2022-05-01 |
Deskripsi
This study combines machine learning and a phase diagram to accelerate the design of a cobalt-based superalloy with a composition of Co-30Ni-10Al-6Ta (at%). The results show that Co-30Ni-10Al-6Ta alloy exhibits high γ′ solvus temperature (1,215 °C) and high yield strength (1,220 Mpa at 25 °C), which is comparable with commercial nickel-based polycrystalline superalloy M-Mar-247. Moreover, the wide processing window and excellent γ′ phase stability make it lucrative for further applications at high temperatures. Meanwhile, the alloy design method also provides a new idea for efficiently realizing the preparation of high-performance alloys.