首页|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)
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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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))).”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai Jiao Tong University
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