論文 Metallic glasses heterogeneous and time sensitive small-scale plasticity probed through nanoindentation and machine learning clustering

Silvia Pomes SAMURAI ORCID ; Takayuki Suzuki ORCID ; Tomoya Enokizono ORCID ; Nozomu Adachi ; Masato Wakeda SAMURAI ORCID ; Takahito Ohmura SAMURAI ORCID

コレクション

引用
Silvia Pomes, Takayuki Suzuki, Tomoya Enokizono, Nozomu Adachi, Masato Wakeda, Takahito Ohmura. Metallic glasses heterogeneous and time sensitive small-scale plasticity probed through nanoindentation and machine learning clustering. Journal of Materials Research and Technology. 2025, 38 (), 3464-3471. https://doi.org/10.1016/j.jmrt.2025.08.135

説明:

(abstract)

The small-scale plasticity and creep behavior of an annealed Zr50Cu40Al10 bulk metallic glass (BMG) were investigated using nanoindentation testing. Four load functions, differing only in their holding times of 0, 10, 30, and 60 s at peak load, were applied. The results show that the BMG exhibits spatially heterogeneous and time-sensitive plastic behavior. Specifically, the elastic energy contribution remains consistent across all holding times, and both the average value and standard deviation of plastic energy increase with longer holding times. Machine learning clustering based on hardness and creep displacement suggested three clusters and the 60-s holding time measurements were analyzed further. Creep analysis showed nearly constant non-linear behavior across clusters, with a linear term emerging at larger creep displacements and an increasing time-dependency coefficient. The cluster with the greatest creep displacements also exhibited the largest plastic energy. Statistical analysis of the distribution of plastic energy values facilitated the identification of potential deformation mechanisms within the clusters.

権利情報:

キーワード: nanoindentation

刊行年月日: 2025-08-23

出版者: Elsevier BV

掲載誌:

  • Journal of Materials Research and Technology (ISSN: 22387854) vol. 38 p. 3464-3471

研究助成金:

  • Government of Japan Ministry of Education Culture Sports Science and Technology

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1016/j.jmrt.2025.08.135

関連資料:

その他の識別子:

連絡先:

更新時刻: 2025-12-12 08:30:17 +0900

MDRでの公開時刻: 2025-12-12 08:24:08 +0900

ファイル名 サイズ
ファイル名 J Mater Res Tech 2025.pdf (サムネイル)
application/pdf
サイズ 3.75MB 詳細