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Data science-assisted mesoscale microstructural prediction method for developing high-performance materials via grain boundary engineering

Research Project

Project/Area Number 22K14140
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 18010:Mechanics of materials and materials-related
Research InstitutionOsaka Metropolitan University (2023)
Tokyo University of Agriculture and Technology (2022)

Principal Investigator

Miyoshi Eisuke  大阪公立大学, 大学院工学研究科, 講師 (70880962)

Project Period (FY) 2022-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2023: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2022: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords微視組織 / 粒界 / 粒界多重点 / 焼鈍 / フェーズフィールド法 / 分子動力学 / データ同化 / 再結晶 / 粒成長 / HPC / 材料微視組織 / 組織制御 / 分子動力学法 / データ科学
Outline of Research at the Start

焼鈍を利用した多結晶材料のメゾスケール組織の制御技術,とりわけ粒界性格分布の制御技術(粒界工学)は,合金化に頼らない高性能材料の開発において極めて重要な役割を有する.しかしながら,粒界性格分布の予測において不可欠な「粒界物性の異方性」,「焼鈍双晶形成」の表現を完備したメゾスケールモデルは未だ存在しない.本研究では,データ科学の援用により,原子スケールの分子動力学解析を上位スケールのフェーズフィールド法解析へと定量的に融合させることで,物性異方性と新規結晶の核形成を正確に反映したメゾスケール焼鈍組織予測を初めて可能とし,粒界工学の高度化に向けた新技術の提示を図る.

Outline of Final Research Achievements

To achieve a quantitative prediction of grain boundary network evolution during annealing processes, this study presented a trans-scale analysis method that quantitatively integrates atomic-scale simulations with continuum-scale phase-field simulations through data assimilation. The present method enabled anisotropic (inclination-dependent) grain boundary properties, which are difficult to measure experimentally, to be efficiently estimated for various types of grain boundary structures, establishing a promising basis for highly accurate precision of annealing phenomena. Furthermore, we developed a novel phase-field model capable of representing the properties of grain boundary multi-junctions and realized the evaluation of the multi-junction properties through data assimilation.

Academic Significance and Societal Importance of the Research Achievements

焼鈍過程における高特性粒界(低Σ値粒界や低エネルギーのファセット粒界など)の増加を利用した材料の高機能化,すなわち粒界工学の技術は,合金化に依らない省資源型材料開発において重要な役割を担う.本研究は,原子計算,連続体モデル,データ科学の融合により,粒界組織制御に不可欠でありながら従来欠落していた異方的粒界物性値や多重点物性値の情報を容易に取得可能とした.これらは,粒界工学の高度化による材料開発加速に資する基盤的枠組を示すものであり,学術・産業両面での貢献が期待できる.

Report

(3 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • Research Products

    (13 results)

All 2023 2022

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (11 results) (of which Int'l Joint Research: 5 results,  Invited: 3 results) Book (1 results)

  • [Journal Article] Validating a mean-field theory via large-scale phase-field simulations for abnormal grain growth induced by nonuniform grain boundary properties2022

    • Author(s)
      Miyoshi Eisuke、Ohno Munekazu、Shibuta Yasushi、Yamanaka Akinori、Takaki Tomohiro
    • Journal Title

      Journal of Materials Science

      Volume: 57 Pages: 16690-16709

    • DOI

      10.1007/s10853-022-07660-4

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Evaluation of inclination-dependent grain boundary properties via data assimilation for molecular dynamics and phase-field simulations2023

    • Author(s)
      T. Fujiwara, E. Miyoshi, A. Yamanaka
    • Organizer
      FEMS EUROMAT2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Thermal conductivity evaluation for physically-based polycrystalline nanostructures using phase-field and phonon transport simulations2023

    • Author(s)
      E. Miyoshi, T. Hori, N. Yasuda
    • Organizer
      FEMS EUROMAT2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Inverse analysis of grain boundary properties based on Bayesian data assimilation and phase-field simulation2023

    • Author(s)
      E. Miyoshi
    • Organizer
      JSME-KSME Joint Symposium on Computational Mechanics & CAE 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] データ駆動型フェーズフィールド法シミュレーションによる粒界特性の逆問題解析2023

    • Author(s)
      三好英輔
    • Organizer
      (公財)科学技術交流財団 第1回デジタルツイン多結晶創成研究会
    • Related Report
      2023 Annual Research Report
    • Invited
  • [Presentation] マルチフェーズフィールド法により構築したナノ多結晶構造のフォノン輸送解析2023

    • Author(s)
      安田直生, 苫米地陸, 三好英輔, 堀琢磨
    • Organizer
      第14回マイクロ・ナノ工学シンポジウム
    • Related Report
      2023 Annual Research Report
  • [Presentation] フェーズフィールド法によって構築したナノ多結晶構造中のフォノン輸送解析2023

    • Author(s)
      堀琢磨, 三好英輔, 安田直生
    • Organizer
      第28回計算工学講演会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 分子動力学法とフェーズフィールド法のデータ同化による粒界特性の面方位依存性の評価2023

    • Author(s)
      藤原倫男, 三好英輔, 山中晃徳
    • Organizer
      第28回計算工学講演会
    • Related Report
      2022 Research-status Report
  • [Presentation] Combined Bayesian inference and phase-field modelling for evaluating triple-junction drag on grain boundary migration2022

    • Author(s)
      E. Miyoshi, M. Ohno, Y. Shibuta, A. Yamanaka, T. Takaki
    • Organizer
      The 10th International Conference on Multiscale Materials Modeling (MMM2022)
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] Bayesian Data Assimilation for Phase-field Simulation of Microstructure Evolution2022

    • Author(s)
      A. Yamanaka, E. Miyoshi, A. Ishiii
    • Organizer
      The 10th International Conference on Multiscale Materials Modeling (MMM2022)
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] 大規模フェーズフィールドシミュレーションによる異常粒成長理論の検証2022

    • Author(s)
      三好英輔, 大野宗一, 澁田靖, 山中晃徳, 高木知弘
    • Organizer
      日本機械学会第35回計算力学講演会
    • Related Report
      2022 Research-status Report
  • [Presentation] 分子動力学とフェーズフィールド法のデータ同化による多結晶粒成長からの粒界物性抽出2022

    • Author(s)
      三好英輔, 大野宗一, 澁田靖, 山中晃徳, 高木知弘
    • Organizer
      第7回マルチスケール材料力学シンポジウム
    • Related Report
      2022 Research-status Report
  • [Book] 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2023

    • Author(s)
      山中 晃徳、三好 英輔
    • Total Pages
      176
    • Publisher
      丸善出版
    • ISBN
      9784621308882
    • Related Report
      2023 Annual Research Report

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Published: 2022-04-19   Modified: 2025-01-30  

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