Impact Factor:6.0
DOI number:10.1016/j.scriptamat.2019.11.019
Affiliation of Author(s):中南大学粉末冶金研究院
Teaching and Research Group:高温结构材料研究所
Journal:Scripta Materialia
Funded by:中国国家重点研究与发展计划(2016YFB0701404), 中国国家自然科学基金（NSFC）(91860105)
Key Words:High throughput, Super alloy, Microstructure, Hardness, Mechanical properties
Abstract:In this work, a diffusion multiple consist of Ni-base superalloys with complex compositions rather than simple metals or compounds is introduce, to discover the new Ni-base polycrystalline superalloys in combination with high strength and microstructure stability. Additionally, machine learning based image recognition has been use to characterize the microstructure, especially the gamma' precipitates. The microhardness is also utilized to rank the mechanical properties of Ni-base superalloys with different compositions. Thus, the composition, microstructure, and property are integrated by the high throughput experiment to discover novel superalloys, which can also be applied to discover other alloys with complex chemical components. (C) 2019 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved
Co-author:Lina Zhang, Weifu Li, Zijun Qin, Zexin Wang, Zihang Li, Liming Tan, Lilong Zhu, Hua Han, Liang Jiang
First Author:Zi Wang
Indexed by:Article
Correspondence Author:Feng Liu
Discipline:Engineering
First-Level Discipline:冶金
Volume:178
Page Number:134-138
ISSN No.:1359-6462
Translation or Not:no