AUTHOR=Wang Cuiping , Chen Xin , Chen Yuechao , Yu Jinxin , Cai Wensu , Chen Zhongfeng , Yu Xiang , Li Yingju , Yang Yuansheng , Liu Xingjun 

TITLE=Accelerated Design of High γ′ Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram

JOURNAL=Frontiers in Materials

VOLUME=Volume 9 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/materials/articles/10.3389/fmats.2022.882955

DOI=10.3389/fmats.2022.882955

ISSN=2296-8016

ABSTRACT=This paper combines machine learning and 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 (1215 ℃) and high yield strength (1220 Mpa at 25 ℃), which is comparable with commercial nickel-based polycrystalline superalloy M-Mar-247. Besides, 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.