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Alternative title: Automated and high-throughput evaluation system of process-structure-property dataset for Ni-base superalloy

Description:

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.

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• In Copyright
  

Keyword: 超合金, ハイスループット評価, ナノインデンテーション

Date published: 2026-06-24

Publisher: Japan Society of Mechanical Engineers

Journal:

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

Funding:

Manuscript type: Author's version (Submitted manuscript)

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

First published URL: https://doi.org/10.1299/jsmemm.2025.OS0212

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Updated at: 2026-07-15 10:59:25 +0900

Published on MDR: 2026-07-15 12:37:19 +0900