Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study

We present an automated high-throughput method capable of gathering 2400 data points relating processing conditions, microstructure geometry and yield strength in just 13 days. An estimated 200 times faster than conventional methods using tensile testing specimens, a complete Process-Structure-Prope...

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Bibliographic Details

Published in:	Materials & Design
Main Authors:	Thomas Hoefler, Ayako Ikeda, Toshio Osada, Toru Hara, Kyoko Kawagishi, Takahito Ohmura
Format:	Article
Language:	English
Published:	Elsevier 2025-08-01
Subjects:	High-throughput method Nanoindentation Image analysis γ/γ′ superalloy Aging heat treatment
Online Access:	http://www.sciencedirect.com/science/article/pii/S0264127525006999