Download file (6.81MB)
Download as zip (6.79MB)

コレクション

引用

代替タイトル: Automated and high-throughput evaluation system of process-structure-property dataset for Ni-base superalloy

説明:

Superalloys used in aircraft engines applications are composed of numerous elements and complex hieratical microstructures, requiring a large amount of high-quality process-structure-property dataset for optimizing their structure and processing. Recent advances of computational simulation will be helpful for optimization of alloy structure, designing new superalloys to meet a given set of material properties without experimental trial and error is still unfeasible. Here, we proposed a novel automated high-throughput method capable of　gathering 2400 data points relating processing conditions, microstructure geometry and yield strength in 13 days. An estimated 200 times faster than conventional methods using tensile testing specimens, a complete Process-Structure-Property (P-S-P) dataset is created from a single sample. The method to rapidly assemble comprehensive and consistent P-S-P datasets can facilitate efficient alloy design.

権利情報:

• In Copyright
  

キーワード: 超合金, ハイスループット評価, ナノインデンテーション

刊行年月日: 2026-06-24

出版者: Japan Society of Mechanical Engineers

掲載誌:

• M&M材料力学カンファレンス (ISSN: 24242845) vol. 2025

研究助成金:

原稿種別: 査読前原稿 (Author's original)

MDR DOI: https://doi.org/10.48505/nims.6409

公開URL: https://doi.org/10.1299/jsmemm.2025.OS0212

関連資料:

その他の識別子:

連絡先:

更新時刻: 2026-07-15 10:59:25 +0900

MDRでの公開時刻: 2026-07-15 12:37:19 +0900