Robotics & Machine Learning Daily News2024,Issue(Apr.30) :44-45.

New Machine Learning Data Have Been Reported by Investigators at Wuhan Universit y (Metallurgical Mechanism Guided Machine Learning To Predict Slag Entrapment Be havior During Ladle Refining With Bottom Blowing)

Robotics & Machine Learning Daily News2024,Issue(Apr.30) :44-45.

New Machine Learning Data Have Been Reported by Investigators at Wuhan Universit y (Metallurgical Mechanism Guided Machine Learning To Predict Slag Entrapment Be havior During Ladle Refining With Bottom Blowing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Hubei, People’ s Republic of China, by NewsRx correspondents, research stated,“This study anal yzed the impact of gas flow rate, oil layer thickness, and purging plug position on oileye area and oil entrapment depth during ladle refining. To this end, a single-plug stirred water modelsystem was used to experimentally investigate th e dynamics of slag entrapment, which plays a vital rolein purifying molten stee l.”

Key words

Hubei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Wuhan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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