Fei Xue

ORCID: 0000-0003-2255-8788
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About
Contact & Profiles
Research Areas
  • High Temperature Alloys and Creep
  • Advanced Materials Characterization Techniques
  • Microstructure and Mechanical Properties of Steels
  • Intermetallics and Advanced Alloy Properties
  • Fatigue and fracture mechanics
  • High-Temperature Coating Behaviors
  • Aluminum Alloy Microstructure Properties
  • Metallurgy and Material Forming
  • High Entropy Alloys Studies
  • Nuclear Materials and Properties
  • Aluminum Alloys Composites Properties
  • Microstructure and mechanical properties
  • Fire effects on concrete materials
  • Fusion materials and technologies
  • Advanced materials and composites
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Metal Alloys Wear and Properties
  • Magnetic Properties and Applications
  • Non-Destructive Testing Techniques
  • nanoparticles nucleation surface interactions
  • Metal Forming Simulation Techniques
  • Welding Techniques and Residual Stresses
  • Metallurgical Processes and Thermodynamics
  • Advanced Welding Techniques Analysis
  • High-Velocity Impact and Material Behavior

University of Michigan–Ann Arbor
2022-2024

Yokohama National University
2023

Friedrich-Alexander-Universität Erlangen-Nürnberg
2017-2023

Suzhou Research Institute
2010-2022

Northwestern University
2019-2022

University of Science and Technology Beijing
2010-2021

Beijing Institute of Aeronautical Materials
2019

Nanyang Technological University
2018-2019

China Building Materials Academy
2016

China University of Mining and Technology
2014-2015

ZAXME11100 (Mg-1Zn-1Al-0.5Ca-0.4Mn-0.2Ce, wt.%) is a recently developed sheet alloy with excellent formability at room temperature. The yield strength of this significantly improved by short 1-hour aging treatment 210 °C (T6), from 159 MPa in solution-treated state (T4) to 270 the T6 condition, slight reduction tensile elongation (from 31% T4 26% T6). In work, precipitation microstructure was characterized explain hardening and high strength-ductility synergy new alloy. A density (8×1023/m3)...

10.1016/j.msea.2024.146586 article EN cc-by-nc-nd Materials Science and Engineering A 2024-04-30

The prediction of irradiation-induced transition temperature shift for RPV steels is an important method long term operation nuclear power plant. Based on the irradiation embrittlement data, model developed with machine learning XGBoost. Then residual, standard deviation and predicted value vs. measured analysis are conducted to analyze accuracy this model. At last, Cu content threshold saturation values analysis, dependence, Ni/Cu dependence flux effect given verify reliability. Those...

10.1016/j.net.2021.02.015 article EN cc-by-nc-nd Nuclear Engineering and Technology 2021-02-26
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