Accelerated Design of High gamma ' Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram | |
Wang, Cuiping1,2,3; Chen, Xin1,2,3; Chen, Yuechao1,2,3; Yu, Jinxin4,5; Cai, Wensu1,2,3; Chen, Zhongfeng1,2,3; Yu, Xiang1,2,3; Li, Yingju6; Yang, Yuansheng6; Liu, Xingjun1,2,3,4,5 | |
Corresponding Author | Wang, Cuiping(wangcp@xmu.edu.cn) ; Liu, Xingjun(xjliu@hit.edu.cn) |
2022-05-16 | |
Source Publication | FRONTIERS IN MATERIALS
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ISSN | 2296-8016 |
Volume | 9Pages:9 |
Abstract | 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 gamma' solvus temperature (1,215 degrees C) and high yield strength (1,220 Mpa at 25 degrees C), which is comparable with commercial nickel-based polycrystalline superalloy M-Mar-247. Moreover, the wide processing window and excellent gamma' 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. |
Keyword | machine learning new cobalt-based superalloys high strength high gamma ' solvus temperature high gamma ' phase stability |
Funding Organization | National Natural Science Foundation of China ; Ministry of Science and Technology of China ; Key-Area Research and Development Program of GuangDong Province |
DOI | 10.3389/fmats.2022.882955 |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Natural Science Foundation of China[51831007] ; Ministry of Science and Technology of China[2014DFA53040] ; Key-Area Research and Development Program of GuangDong Province[2019B010943001] |
WOS Research Area | Materials Science |
WOS Subject | Materials Science, Multidisciplinary |
WOS ID | WOS:000803950900001 |
Publisher | FRONTIERS MEDIA SA |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.imr.ac.cn/handle/321006/174174 |
Collection | 中国科学院金属研究所 |
Corresponding Author | Wang, Cuiping; Liu, Xingjun |
Affiliation | 1.Xiamen Univ, Coll Mat, Xiamen, Peoples R China 2.Xiamen Univ, Fujian Prov Key Lab Mat Genome, Xiamen, Peoples R China 3.Xiamen Univ, Xiamen Key Lab High Performance Met & Mat, Xiamen, Peoples R China 4.Harbin Inst Technol, State Key Lab Adv Welding & Joining, Harbin, Peoples R China 5.Harbin Inst Technol, Inst Mat Genome & Big Data, Shenzhen, Peoples R China 6.Chinese Acad Sci, Inst Met Res, Shenyang, Peoples R China |
Recommended Citation GB/T 7714 | Wang, Cuiping,Chen, Xin,Chen, Yuechao,et al. Accelerated Design of High gamma ' Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram[J]. FRONTIERS IN MATERIALS,2022,9:9. |
APA | Wang, Cuiping.,Chen, Xin.,Chen, Yuechao.,Yu, Jinxin.,Cai, Wensu.,...&Liu, Xingjun.(2022).Accelerated Design of High gamma ' Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram.FRONTIERS IN MATERIALS,9,9. |
MLA | Wang, Cuiping,et al."Accelerated Design of High gamma ' Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram".FRONTIERS IN MATERIALS 9(2022):9. |
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