High-Throughput Method–Accelerated Design of Ni-Based Superalloys

Feng Liu; Zexin Wang; Zi WangJing ZhongLei ZhaoLiang JiangRunhua ZhouYong LiuLan HuangLiming TanYujia TianHan ZhengQihong FangLijun ZhangLina ZhangHong WuLichun BaiKun Zhou

首页> 外文期刊>Advanced functional materials >High-Throughput Method–Accelerated Design of Ni-Based Superalloys

【24h】

High-Throughput Method–Accelerated Design of Ni-Based Superalloys

机译：High-Throughput Method–Accelerated Design of Ni-Based Superalloys

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Ever-increasing demands for superior alloys with improved hightemperatureservice properties require accurate design of their composition.However, conventional approaches to screen the properties of alloys suchas creep resistance and microstructural stability cost a lot of time andresources. This work therefore proposes a novel high throughput–baseddesign strategy for high-temperature alloys to accelerate their compositionselections, by taking Ni-based superalloys as an example. A numericalinverse method is used to massively calculate the multielement diffusioncoefficients based on an accurate atomic mobility database. Thesecoefficients are subsequently employed to refine the physical modelsfor tuning the creep rates and structural stability of alloys, followed byunsupervised machine learning to categorize their composition anddetermine the range of the composition with optimal performance. By usinga strict screening criterion, two sets of composition with comprehensivelyoptimal properties are selected, which is then validated by experiments.Compared with recent data-driven methods for materials design, this strategyexhibits high accuracy and efficiency attributed to the high-throughputmulticomponent diffusion couples, self-developed atomic mobility database,and refined physical models. Since this strategy is independent of the alloycomposition, it can efficiently accelerate the development of multicomponenthigh-performance alloys and tackle challenges in discovering novel materials.

著录项

来源
《Advanced functional materials》 |2022年第28期|2109367.1-2109367.13|共13页
作者
Feng Liu; Zexin Wang; Zi WangJing ZhongLei ZhaoLiang JiangRunhua ZhouYong LiuLan HuangLiming TanYujia TianHan ZhengQihong FangLijun ZhangLina ZhangHong WuLichun BaiKun Zhou;
展开▼
作者单位

State Key Laboratory of Powder MetallurgyCentral South UniversityChangsha 410083, China;

State Key Laboratory of Powder MetallurgyCentral South UniversityChangsha 410083, China, AEEC Commercial Aircraft Engine Co. LtdShanghai 200241, China;

Beijing Key Laboratory of Metal Material CharacterizationChina Iron & Steel Research InstituteBeijing 100081, ChinaInstitute for Advanced Studies in Precision MaterialsYantai UniversityYantai 264005, ChinaSchool of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingapore 639798, SingaporeState Key Laboratory of Advanced Design and Manufacturing forVehicle BodyHunan UniversityChangsha 410082, ChinaState Key Laboratory of Powder MetallurgyCentral South UniversityChangsha 410083, China, National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100190, ChinaState Key Laboratory of Powder MetallurgyCentral South UniversityChangsha 410083, China, Institute for Advanced Studies in Precision MaterialsYantai UniversityYantai 264005, China, National Laboratory of Pattern Recognition Institute of AutomationChinese Key Laboratory of Traffic Safety on TrackMinistry of EducationSchool of Traffic & Transportation EngineeringCentral South UniversityChangsha 410075, China;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
alloy design; creep resistance; high-throughput methods; microstructure stability; unsupervised machine learning;

High-Throughput Method–Accelerated Design of Ni-Based Superalloys

摘要

著录项

相关主题

期刊订阅