谭黎明
  • 学位:博士学位
  • 职称:副研究员
  • 学科:材料科学与工程
  • 所在单位:粉末冶金研究院

副研究员

所在单位:粉末冶金研究院
学历:博士研究生毕业
性别:
学位:博士学位
在职信息:在职
毕业院校:中南大学

学科:材料科学与工程

当前位置: 中文主页 >> 论文成果
Effects of strain amount and strain rate on grain structure of a novel high Co nickel-based polycrystalline superalloy
点击次数:
影响因子:
8.4
DOI码:
10.1016/j.matdes.2017.06.004
所属单位:
中南大学粉末冶金研究院
发表刊物:
Materials & Design
项目来源:
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)&(52074366),中国博士后科学基金会(2019M662799),中南大学创新驱动计划的青年人才项目(2019XZ027),中国山东主要科技创新项目(2019JZZY010325),长沙市自然科学基金(kq2014126)
关键字:
High Co addition, Nickel-based superalloy, Dynamical recrystallization, Dynamical recovery, Abnormal grain growth
摘要:
The development of nickel-based superalloys with high Co addition has aroused widespread interest recently owing to their potential application in hot sections of gas turbine. However, how hot working parameters impact the grain evolution of these superalloys remains to be studied systematically. In this work, high-throughput double cone ( DC) specimen, which yielded gradient strain at different regions in a single sample after hot compression, were designed to investigate the thermo-mechanical behaviors of a novel superalloy. Superslovus treatment was subsequently conducted to investigate the susceptibility to abnormal grain growth (AGG). By means of finite element simulation, transmission electron microscope (TEM), and electron backscatter diffraction (EBSD), it was found that slow strained DC was preferred to obtain a well-distributed grain structure after supersolvus annealing, owing to its adequate dynamical recrystallization (DRX) and dynamical recovery (DRV) during deformation.
合写作者:
黄再旺, Feng Liu, Guoai He, Xin Wang, Lan Huang, Yiwen Zhang, Liang Jiang
第一作者:
谭黎明
论文类型:
Article
通讯作者:
Feng Liu
学科门类:
工学
一级学科:
冶金
卷号:
131
页面范围:
60-68
ISSN号:
0264-1275
是否译文:
个人简介

中国科协青年托举人才(第八届)。长期致力于数据驱动高温合金和涂层材料高效设计、制造(铸造、粉末冶金、涂层、增材制造),及其服役行为研究。主持和参与湖南省自然科学基金、广东省科技特派员、中国博士后面上项目湖南省“十大”科技攻关项目湖南省技术攻关“揭榜挂帅”项目国家自然科学基金、国家重点研发计划等省级、国家级项目10余项。近五年Advanced Functional MaterialsMaterials Research LettersScripta Materialia、Virtual and Physical Prototyping、Journal of Materials Science and Technology 等期刊发表SCI论文40余篇,申请国家发明专利20余项,获软件著作权10余项。

团队聚焦于AI、高通量实验和材料大数据方法在高温合金和增材制造(3D打印)等关键领域中的应用,已获得多个重点在研项目的支持,欢迎广大有志青年报考!

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