Robotics & Machine Learning Daily News2024,Issue(Dec.2) :65-66.

Reports on Robotics from Chinese Academy of Sciences Provide New Insights (Robot ic Disc Grinding Path Planning Method Based On Multi-objective Optimization for Nuclear Reactor Coolant Pump Casing)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :65-66.

Reports on Robotics from Chinese Academy of Sciences Provide New Insights (Robot ic Disc Grinding Path Planning Method Based On Multi-objective Optimization for Nuclear Reactor Coolant Pump Casing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Fresh data on Robotics are presented in a new rep ort. According to news reporting from Shenyang,People’s Republic of China, by N ewsRx journalists, research stated, “In the nuclear industry, the finishinggrin ding work of the nuclear reactor coolant pump (RCP) casing is mainly performed m anually. Uncontrollablegrinding tasks cause the grinding disc to be easily worn during the grinding process, which willgreatly affect the grinding accuracy an d efficiency.”

Key words

Shenyang/People’s Republic of China/As ia/Algorithms/Emerging Technologies/Machine Learning/Robotics/Robots/Chine se Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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