Rchr
J-GLOBAL ID：202201007977059203   Update date: May. 16, 2025

Wu Kaige

ウ ガイカ | Wu Kaige
Affiliation and department：
The University of Tokyo School of Engineering Department of Materials Engineering

About The University of Tokyo School of Engineering Department of Materials Engineering


Job title： Project Researcher
Homepage URL  (1)： http://rme.mm.t.u-tokyo.ac.jp/
Research field  (2)： Structural and functional materials ,  Material fabrication and microstructure control
Research keywords  (8)： Corrosion Science and Engineering ,  Acoustic Emission ,  Electrochemical Measurement ,  Localized Corrosion ,  Stress Corrosion ,  Steels, Stainless Steels ,  Light metals (Al alloys, Mg alloys) ,  Machine Learing
Research theme for competitive and other funds  (4)：
  • 2025 - 2027 Acoustically visualizing the surface-film breakdown process initiating a stable pit in light metals
  • 2022 - 2024 Elucidating the mechanism and developing the predictive model for localized corrosion of aluminum alloys by in-situ intermittent anodic polarization and machine learning methods
  • 2022 - 2023 Elucidation of AE source mechanism of localized corrosion of metallic materials by in situ microelectrochemistry and machine learning method
  • 2021 - 2023 Real-time quantitatively assessing the corrosion-induced hydrogen trapping in metals
Papers (13)：
ｍore...
Patents (1)：
  • Apparatus and method for pitting corrosion monitoring using acoustic emission technique
Lectures and oral presentations  (59)：
  • Analysis of corrosion behavior of dual-phase steel using cellular automata method
    (The 71st Japan Conference on Materials and Environments 2024)
  • A unified model for pit initiation of light metals based on AE signals
    (The 71st Japan Conference on Materials and Environments 2024)
  • Analysis of intermetallic particle induced localized corrosion of 5083 aluminum alloy using AE monitoring and machine learning methods
    (JILM Annual Autumn Meeting 2024 (147th) 2024)
  • Two-step initiation model of light metal pitting based on AE signals
    (The 24th AE conference 2024)
  • Rapid evaluation of localized corrosion rate of Mg alloys based on AE signals
    (2024 Autumn (175th) Meeting of The Japan Institute of Metals and Materials (JIMM) 2024)
ｍore...
Education (3)：
  • 2016 - 2020 The University of Tokyo The Graduate School of Engineering Department of Materials Engineering (Doctoral course)
  • 2011 - 2014 Seoul National University of Science and Technology Graduate School of Industry Department of Materials Engineering (Master's Course)
  • 2006 - 2010 Zhengzhou University Faculty of Engineering School of Materials Science and Engineering
Professional career (1)：
  • Ph.D (The University of Tokyo)
Work history (2)：
  • 2020/04 - 現在 The University of Tokyo The Graduate School of Engineering Department of Materials Engineering Project Researcher
  • 2014/06 - 2016/09 Korea Atomic Energy Research Institute Nuclear Materials Safety Research Division Assistant Researcher
Awards (13)：
  • 2020/03 - 日本金属学会 若手講演論文賞
  • 2017/10 - Best Paper Award of Korean Nuclear Society Autumn Conference
  • 2017/10 - 13th TU-SNU-UT Student Workshop Best Presentation Award
  • 2016/04 - Best Presentation Award at the 2016 Spring Conference of the Korean Institute of Metals and Materials
  • 2014/02 - Korean Government Scholarship Award, Ministry of Education of the Republic of Korea, Seoul, Korea.
Show all
Association Membership(s) (4)：
The Japan Institute of Light Metals ,  The Japan Society of Corrosion Engineering ,  The Japanese Society for Non-Destructive Inspection ,  The Japan Institute of Metals and Materials
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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