Effect of microstructural evolution by isothermal aging on the mechanical properties of 9Cr-1WVTa reduced activation ferritic/martensitic steels-Reference-Cited by-同舟云学术

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Effect of microstructural evolution by isothermal aging on the mechanical properties of 9Cr-1WVTa reduced activation ferritic/martensitic steels

Published:2017-03 Issue: Volume:485 Page:15-22
ISSN:0022-3115
Container-title:Journal of Nuclear Materials
language:en
Short-container-title:Journal of Nuclear Materials

Author:

Park Min-Gu,Lee Chang-Hoon,Moon Joonoh,Park Jun Young,Lee Tae-Ho,Kang Namhyun,Chan Kim Hyoung

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering,General Materials Science,Nuclear and High Energy Physics

Reference26 articles.

1. Status and key issues of reduced activation ferritic/martensitic steels as the structural material for a DEMO blanket

2. Microstructural evolution and mechanical performances of SiC/SiC composites by polymer impregnation/microwave pyrolysis (PIMP) process

3. Advanced materials for fusion technology

4. Research and development on the China low activation martensitic steel (CLAM)

5. Study of irradiation effects in China low activation martensitic steel CLAM

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Carbide evolution and its effect on the impact toughness of the 9Cr/CrMoV dissimilar welded joint during the aging treatment;Engineering Failure Analysis;2023-10

2. Evolution of microstructure and mechanical properties of 9Cr ferrite/martensite steels with different Si content after long-term aging at 550 °C;Journal of Alloys and Compounds;2021-08

3. Effect of Ta and Ti on Modified Reduced Activation Ferritic/Martensitic Steels with a Thermo‐mechanical Control Process;steel research international;2020-11-13

4. Design of comprehensive mechanical properties by machine learning and high-throughput optimization algorithm in RAFM steels;Nuclear Engineering and Technology;2020-05

5. Tensile property prediction by feature engineering guided machine learning in reduced activation ferritic/martensitic steels;Journal of Nuclear Materials;2020-02

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