Quantitative models of high temperature creep microstructure-property correlation of a nickel-based single crystal superalloy with physical and statistical features
文献类型：期刊论文
| 作者 | Xu, Jinghui1; Li, Longfei1; Liu, Xingang2; Li, Hui2; Feng, Qiang1 |
| 刊名 | JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 19页码:2301-2313 |
| 关键词 | Nickel-based SX superalloy High-throughput creep tests Statistical microstructural features Microstructure-property correlation Artificial neural networks |
| ISSN号 | 2238-7854 |
| DOI | 10.1016/j.jmrt.2022.06.011 |
| 通讯作者 | Li, Longfei(lilf@skl.ustb.edu.cn) |
| 英文摘要 | The microstructural evolution prediction and operating condition evaluation of nickel-based single crystal (SX) superalloys during creep are of great significance for damage assessment in service. In this paper, quantitative models of crept microstructural evolution of a nickel-based SX superalloy containing Re and Ru were constructed by using the machine learning method with physical and statistical features of microstructure. Firstly, a sequence of high temperature creep tests was conducted on high-throughput specimens with multiple conditions. The physical microstructural features, i.e., volume fraction (Vf), rafting degree (Omega), and rafts thickness (D) of gamma' precipitates of 8 different specimens were quantitated continuously. Secondly, the statistic features were introduced as supplementary to improve the specificity of microstructural features, using the two statistical methods of two-point correlation and principal component analysis (PCA). Then, two machine learning models were constructed through a neural network algorithm, to predict the microstructure under a certain creep condition and evaluate the creep condition with a certain microstructural feature. The validation creep test showed that these two models have good performance. The quantitative models constructed in this study have great significance in the alloy optimization and damage assessment of nickel-based SX superalloys, which can be extended to other SX superalloys. (C) 2022 The Author(s). Published by Elsevier B.V. |
| 资助项目 | National Science and Technology Major Project[:2017-VI-0002-0072] ; 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000861359200004 |
| 出版者 | ELSEVIER |
| 资助机构 | National Science and Technology Major Project ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; 111 Project |
| 源URL | [http://ir.imr.ac.cn/handle/321006/175774]  |
| 专题 | 金属研究所_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. Quantitative models of high temperature creep microstructure-property correlation of a nickel-based single crystal superalloy with physical and statistical features[J]. JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T,2022,19:2301-2313. |
| APA | Xu, Jinghui,Li, Longfei,Liu, Xingang,Li, Hui,&Feng, Qiang.(2022).Quantitative models of high temperature creep microstructure-property correlation of a nickel-based single crystal superalloy with physical and statistical features.JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T,19,2301-2313. |
| MLA | Xu, Jinghui,et al."Quantitative models of high temperature creep microstructure-property correlation of a nickel-based single crystal superalloy with physical and statistical features".JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T 19(2022):2301-2313. |
入库方式： OAI收割
来源：金属研究所
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