Prediction of metal temperature in creep-exposed austenitic stainless steel from optical micrographs with sparse regression method

Akihiro Endo

講演情報

Oral Session

A. New Materials Methodology for Next-Generation » [A-2] Materials Integration: Prediction and Design for Structural Materials through Data Science

[A2-O5] Slot 05

2021年12月14日(火) 16:00 〜 18:00 Room P (G317)

Chair: Manabu Enoki (The University of Tokyo)

16:40 〜 16:55

[A2-O5-03] Prediction of metal temperature in creep-exposed austenitic stainless steel from optical micrographs with sparse regression method

*Akihiro Endo¹, Kota Sawada², Kenji Nagata², Hideki Yoshikawa², Hayaru Shouno¹ (1. The Univ. of Electro-Communications (Japan), 2. National Inst. for Materials Science (Japan))

キーワード：stainless steel, image analysis, micrograph, Larson-Miller parameter, sparse regression

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