2022 Fiscal Year Final Research Report

Accurate structure analysis of high-temperature melts for the primary elements of metallic glasses

Research Project

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Project/Area Number	20H02496
Research Category	Grant-in-Aid for Scientific Research (B)
Allocation Type	Single-year Grants
Section	一般
Review Section	Basic Section 26060:Metals production and resources production-related
Research Institution	Hakodate National College of Technology
Principal Investigator	MIZUNO Akitoshi 函館工業高等専門学校, 物質環境工学科, 准教授 (10348500)
Co-Investigator(Kenkyū-buntansha)	正木匡彦芝浦工業大学, 工学部, 教授 (00360719) 尾原幸治公益財団法人高輝度光科学研究センター, その他部局等, 副主席研究員 (00625486) 小原真司国立研究開発法人物質・材料研究機構, 先端材料解析研究拠点, 独立研究者 (90360833) 寺門修函館工業高等専門学校, 物質環境工学科, 准教授 (90402487)
Project Period (FY)	2020-04-01 – 2023-03-31
Keywords	金属ガラス / 液体構造 / 放射光X線 / 無容器浮遊法 / 高温融体
Outline of Final Research Achievements	In the present study, the relationship between liquid structure and glass-forming ability was investigated mainly for high-melting-point metallic elements, which are the main constituents of metallic glasses. To obtain high-precision data on liquid structure factors for high-temperature liquids above 1500 °C, we utilized the containerless levitation technique　and synchrotron radiation X-rays. For Hf (m.p. 2233 °C), which has the highest melting point of all the elements in this study, structure data were successfully obtained from the supercooled liquid state at 2130 °C to the liquid temperature range of 2330 °C. The structure analysis revealed that the main constituent elements of metallic glasses have a dense packing structure, including icosahedral short-range order, even on monatomic liquids.Therefore, we conclude that the addition of different elements further increases the packing fraction, which is a factor that increases the glass-forming ability.
Free Research Field	材料科学
Academic Significance and Societal Importance of the Research Achievements	近年，機械学習を援用した材料開発が急速に進展している。機械的強度が高く，特有の物性を示す金属ガラスについても同様であり，液体金属の物性や理論モデルを入力としたマテリアルズ・インフォマティクスの手法を取り入れた発表が続々となされている。本研究により，従来取得が困難であった高融点金属の液体構造の高精度データを取得することに成功しており，今後は液体金属の構造データを入力とした材料開発に寄与できる。