Researchers’ Work from Shanghai Jiao Tong University Focuses on Machine Learning (Machine Learning for Prediction of Retained Austenite Fraction and Optimization of Processing In Quenched and Partitioned Steels)

Robotics & Machine Learning Daily News2024，Issue(Jan.2) ：32-32.

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Researchers’ Work from Shanghai Jiao Tong University Focuses on Machine Learning (Machine Learning for Prediction of Retained Austenite Fraction and Optimization of Processing In Quenched and Partitioned Steels)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The metastableretained austenite (RA) plays a significant role in the excellent mechanical performance of quenching andpartitioning (Q&P) steels, while the volume fraction of RA (V-RA) is challengeable to directly predict due tothe complicated relationships between the chemical composition and process (like quenching temperature(Q(T))).”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai Jiao Tong University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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