Rchr
J-GLOBAL ID:201801012668411840   Update date: Apr. 15, 2024

Yamanaka Akinori

Yamanaka Akinori
Affiliation and department:
Homepage URL  (1): http://web.tuat.ac.jp/~yamanaka/
Research field  (3): Applied mathematics and statistics ,  Material fabrication and microstructure control ,  Machine materials and mechanics
Research keywords  (2): Data assimilation ,  Phase-field method
Research theme for competitive and other funds  (18):
  • 2021 - 2026 Materials Informatics for Creation of Materials by Super Thermal Field
  • 2020 - 2024 粘弾性マイクロジェットの能動制御と次世代製造プロセスへの展開
  • 2020 - 2023 Improvement in predictive accuracy of crystal-plasticity analysis by utilizing oligocrystal metal and machine learning
  • 2020 - 2023 Development of computational techniques for inverse problems and optimizations of sheet metal forming using machine learning
  • 2017 - 2021 Development of efficient manufacturing process of nano/micro metal resonators and application for development of optical fuctional devices
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Papers (80):
  • Yutaka Kaneko, Akinori Yamanaka, Hiroyuki Nishida. Data assimilation to determine the electrohydrodynamic force of plasma actuator. Sensors and Actuators A: Physical. 2024. 372. 115320-115320
  • Yusuke Seguchi, Masayuki Okugawa, Chuanqi Zhu, Akinori Yamanaka, Yuichiro Koziumi. Data assimilation for phase-field simulations of the formation of eutectic alloy microstructures. Computational Materials Science. 2024. 237. 112910-112910
  • Y. Zhang, A. Yamanaka, S. Cooreman, T. Kuwabara, S. Coppieters. Inverse identification of plastic anisotropy through multiple non-conventional mechanical experiments. International Journal of Solids and Structures. 2023. 285. 112534-112534
  • Inverse Estimation of Material Model Parameters Using Digital Image Correlation and Ensemble-based Four-dimensional Variational Methods. Journal of the Japan Society for Technology of Plasticity. 2023. 64. 754. 195-201
  • Akimitsu Ishii, Shinjiro Kikuchi, Akinori Yamanaka, Akiyasu Yamamoto. Application of Bayesian Optimization to the Synthesis Process of BaFe2(As,P)2 Polycrystalline Bulk Superconducting Materials. Journal of Alloys and Compounds. 2023. 171613-171613
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MISC (166):
  • Rihito Ikuta, Akinori Yamanaka. Multi-phase-field simulation of cyclic phase transformation using neural network in Fe-C-Mn-Si alloy. Asian Pacific Congress on Computational Mechanics 2019. 2019
  • Akimitsu Ishii, Akinori Yamanaka, Yuhki Okada and Akiyasu Yamamoto. Large-scale phase-field simulation of solid-state sintering in polycrystalline superconducting material using parallel computing. Asian Pacific Congress on Computational Mechanics 2019. 2019
  • Kazuki Takahashi, Akinori Yamanaka. Data Assimilation for Three-dimensional Phase-field Simulation of Binary Alloy Solidification. Asian Pacific Congress on Computational Mechanics 2019. 2019
  • Akinori Yamanaka, Yuri Maeda. Bayesian Data Assimilation Solver for Phase-field Models with Python. Asian Pacific Congress on Computational Mechanics 2019. 2019
  • Akinori Yamanaka, Akimitsu Ishii, Yuki Okada, Yusuke Shimada, Akiyasu Yamamoto. Material Parameter Estimation for Phase-field Simulation of Solid-state Sintering using Data Assimilation. Materials Research Meeting 2019. 2019
more...
Books (3):
  • Pythonによるフェーズフィールド法入門: 基礎理論からデータ同化の実装まで
    丸善出版 2024
  • 機械屋のための分析装置ハンドブック
    2012
  • フェーズフィールド法 -数値シミュレーションによる材料組織設計-
    2012
Education (3):
  • 2006 - 2008 Kobe University Graduate School of Science and Technology
  • 2005 - 2006 Kobe University Graduate School of Science and Technology
  • 2001 - 2005 Kobe University Faculty of Engineering Department of Mechanical Engineering
Work history (8):
  • 2023/04 - 現在 Joint Center for Sustainability Research and Implementation (JCSRI) Director
  • 2022/04 - 現在 Tokyo University of Agriculture and Technology Assistant to the President
  • 2021/04 - 現在 Tokyo University of Agriculture and Technology Institute of Engineering Division of Advanced Mechanical Systems Engineering Professor
  • 2012/10 - 2021/03 Tokyo University of Agriculture and Technology
  • 2017/04 - 2019/03 National Institute for Materials Science
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Committee career (4):
  • 2021/04 - 現在 一般社団法人日本塑性加工学会 校閲委員
  • 2021/04 - 現在 一般社団法人 日本鉄鋼協会 論文誌編集委員会 専門委員
  • 2020/04 - 2021/03 一般社団法人 軽金属学会 大会運営委員会
  • 2018 - 2019 独立行政法人 日本学術振興会 科学研究費委員会審査第三部会小委員会 専門委員(審査委員)
Awards (12):
  • 2023/10 - Computational Mechanics Division, The Japan Society for Mechanical Engineers Computational Mechanics Achievements Award
  • 2021/06 - 一般社団法人日本塑性加工学会 学術賞 「データ科学を駆使した金属材料の組織形成と塑性変形予測」
  • 2021/06 - 一般社団法人日本塑性加工学会 論文賞 「深層学習を用いたアルミニウム合金板の集合組織に依存した応力-ひずみ曲線とr値の推定」
  • 2019/12 - Japan Association for Computational Mechanics The JACM Young Investigator Award
  • 2018/04 - 文部科学省 平成30年度 文部科学大臣表彰 若手科学者賞 フェーズフィールド法に基づいた計算材料設計技術の研究
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