[S1] S1.Materials DX for the research and development of structural materials for extreme environment (III)(2) | Year 2025 Autumn Annual Meeting of JIMM

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Session Details

公募シンポジウム講演

[S1]S1.Materials DX for the research and development of structural materials for extreme environment (III)(2)

Thu. Sep 18, 2025 9:00 AM - 11:55 AM JST
Thu. Sep 18, 2025 12:00 AM - 2:55 AM UTC

Room J(C213 2nd floor Building C)

Chair:Tokuteru Uesugi, Goro Miyamoto

※表示の講演時間には質疑応答時間も含みます。
（質疑応答時間5分、基調講演と招待講演は5～10分）

9:00 AM - 9:40 AM JST(12:00 AM - 12:40 AM UTC)Keynote Lecture

[S1.16][Keynote Lecture] Mechanical response in nitriding-strengthened Fe-0.1 at.% Ti alloy

*MITSUHARA Masatoshi¹, NAKAMURA Sohei², YAMASAKI Shigeto¹, MIYAMOTO Goro³ (1. Kyushu Univ., 2. IGSES Kyushu Univ., 3. Tohoku Univ.)

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9:40 AM - 9:55 AM JST(12:40 AM - 12:55 AM UTC)

[S1.17]Pitting failure in rolling-sliding contact fatigue for nitrided low-alloy steel SCM440

*Yamamichi Kanta¹, Umezawa Osamu², Maruyama Takashi³ (1. Yokohama national university, 2. Yokohama national university, 3. Sumitomo Heavy Industries)

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9:55 AM - 10:15 AM JST(12:55 AM - 1:15 AM UTC)

[S1.18]Development of a fatigue strength prediction model of nitrided steels considering residual stress

*MIYAMOTO Gorou¹, Sekida Sayaka¹, Furuhara Tadashi¹, Endo Akihiro², Nagata Kenji², Demura Masahiko² (1. Institute for Materials Research, Tohoku University, 2. NIMS)

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10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)

break

10:30 AM - 11:10 AM JST(1:30 AM - 2:10 AM UTC)Keynote Lecture

[S1.19][Keynote Lecture] Atomic-Scale Investigation of Nanocluster Formation in Nitrided Steels Using Machine Learning and First-Principles Calculations

*UESUGI Tokuteru¹ (1. Osaka Metropolitan University)

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11:10 AM - 11:30 AM JST(2:10 AM - 2:30 AM UTC)

[S1.20]First-Principles-Based Prediction of Nitride Nanocluster Formation in Fe–Ti–Al–N Alloys

*ENOKI Masanori¹, Ohtani Hiroshi² (1. Shimane Univ., 2. Tohoku Univ.)

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11:30 AM - 11:55 AM JST(2:30 AM - 2:55 AM UTC)

[S1.21]Atomistic Investigation of TiN Precipitation and Dislocation Interaction in BCC Fe Using Machine Learning Potentials

*Du Jun-Ping¹, Ogata Shigenobu¹ (1. UOsaka)

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