Preparation and property optimization of FeCrAl-based ODS alloy by machine learning combined with wedge-shaped hot-rolling-Reference-Cited by-同舟云学术

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Preparation and property optimization of FeCrAl-based ODS alloy by machine learning combined with wedge-shaped hot-rolling

Published:2022-06 Issue: Volume:188 Page:111894
ISSN:1044-5803
Container-title:Materials Characterization
language:en
Short-container-title:Materials Characterization

Author:

Deng Lin,Wang Changhao,Luo Jinru,Tu Jian,Guo Ning,Xu Haiyan,He Pei,Xia Shengquan,Yao Zhongwen

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference66 articles.

1. Generation-IV nuclear power: a review of the state of the science;Abram;Energy Policy,2008

2. Strength-hardness correlations of thermal-exposed oxide dispersion strengthened nickel-based superalloy with different grain size distributions;Wang;Mater. Charact.,2021

3. Orientation dependence of yield strength in a new single crystal-like FeCrAl oxide dispersion strengthened alloy;Aghamiri;Mater. Charact.,2021

4. Development of low-Cr ODS FeCrAl alloys for accident-tolerant fuel cladding;Dryepondt;J. Nucl. Mater.,2018

5. Effect of Y/Ti atomic ratio on microstructure of oxide dispersion strengthened alloys;Lu;Mater. Charact.,2017

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