Fast characterization framework for creep microstructure of a nickel-based SX superalloy with high-throughput experiments and deep learning methods

doi:10.1016/j.matchar.2022.111857

IMR OpenIR

	Fast characterization framework for creep microstructure of a nickel-based SX superalloy with high-throughput experiments and deep learning methods
	Xu, Jinghui 1; Li, Longfei 1; Liu, Xingang 2; Li, Hui 2; Feng, Qiang 1
通讯作者	Li, Longfei(lilf@skl.ustb.edu.cn)
	2022-05-01
发表期刊	MATERIALS CHARACTERIZATION
ISSN	1044-5803
卷号	187 页码:9
摘要	Nickel-based single crystal (SX) superalloys are the key materials of turbine blades in aircrafts, that the microstructure evolution during high temperature creep has critical effects on the thermo-mechanical properties. Research on microstructure evolution and establishing the quantitative relationship between microstructure evolution and creep conditions are of great significance for service safety assessment of nickel-based SX superalloys. High generation nickel-based SX superalloys generally have high cost on account of precision casting and the addition of Re and Ru which are rare and precious metals. Hence, it is necessary to develop a rapid characterization and analysis approach in terms of microstructure features of nickel-based SX superalloys. In this study, we integrated high-throughput experiment, large-scale high-resolution characterization and highthroughput quantitative analysis techniques to establish an efficient method for investigating the microstructure evolution of nickel-based SX superalloys during high temperature creep. The high temperature interrupted creep tests were carried out on the variable section specimens with arc surface to acquire the microstructures which are changed with creep stress continuously. High-resolution SEM with ALTLAS module was employed to quickly characterize the large-scale microstructure throughout the universal stress scale. Based on U-Net deep learning algorithm, an automatic dendrite identification model was established to segment the dendrite region quickly and accurately. And then, the gamma/gamma' microstructure parameters of dendrite region were continuously quantitated using a logical algorithm. The quantitative correlation between microstructure evolution and creep conditions of nickel-based SX superalloys could be established, which shows tremendous potential and significance in the service safety assessment of nickel-based SX superalloys.
关键词	Nickel-based SX superalloy Microstructure characterization Integrated method U-net Continuous quantification
资助者	National Science and Technology Major Project ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; 111 Project
DOI	10.1016/j.matchar.2022.111857
收录类别	SCI
语种	英语
资助项目	National Science and Technology Major Project[:2017-VI0002-0072] ; National Key Research and Development Program of China[:2016YFB0701403] ; National Natural Science Foundation of China[51631008] ; National Natural Science Foundation of China[91860201] ; 111 Project[B170003]
WOS研究方向	Materials Science ; Metallurgy & Metallurgical Engineering
WOS类目	Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering ; Materials Science, Characterization & Testing
WOS记录号	WOS:000793644100004
出版者	ELSEVIER SCIENCE INC
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/173954
专题	中国科学院金属研究所
通讯作者	Li, Longfei
作者单位	1.Univ Sci & Technol Beijing, Beijing Adv Innovat Ctr Mat Genome Engn, State Key Lab Adv Met & Mat, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Met Res, Superalloys Div, Shenyang 110016, Peoples R China
推荐引用方式 GB/T 7714	Xu, Jinghui,Li, Longfei,Liu, Xingang,et al. Fast characterization framework for creep microstructure of a nickel-based SX superalloy with high-throughput experiments and deep learning methods[J]. MATERIALS CHARACTERIZATION,2022,187:9.
APA	Xu, Jinghui,Li, Longfei,Liu, Xingang,Li, Hui,&Feng, Qiang.(2022).Fast characterization framework for creep microstructure of a nickel-based SX superalloy with high-throughput experiments and deep learning methods.MATERIALS CHARACTERIZATION,187,9.
MLA	Xu, Jinghui,et al."Fast characterization framework for creep microstructure of a nickel-based SX superalloy with high-throughput experiments and deep learning methods".MATERIALS CHARACTERIZATION 187(2022):9.