Automated high-throughput data collection and analysis of composition-process-structure relations by utilizing casting segregation in a Ni-base superalloy | 研究者総覧SAMURAI - 物質・材料研究機構 (NIMS)

HOME > 論文 > 書誌詳細

Automated high-throughput data collection and analysis of composition-process-structure relations by utilizing casting segregation in a Ni-base superalloy

Thomas Hoefler, Ayako Ikeda, Satoshi Utada, Makoto Osawa, Kyoko Kawagishi, Toru Hara, Takahito Ohmura, Daichi Akama, Masaki Taneike, Toshio Osada.

Materials & Design 270 116820. 2026.

https://doi.org/10.1016/j.matdes.2026.116820

Open Access Elsevier BV (Publisher) Materials Data Repository (MDR)

NIMS著者

Materials Data Repository (MDR)上の本文・データセット

MDRavailable Automated high-throughput data collection and analysis of composition-process-structure relations by utilizing casting segregation in a Ni-base superalloy

作成時刻: 2026-09-08 03:05:56 +0900 更新時刻: 2026-10-09 04:30:56 +0900

▲ページトップへ移動