Findings from Shanghai Jiao Tong University Provides New Data on Robotics (A Com prehensive Investigation Into the Mechanism of Belt Wear Influencing Heat Partit ion Ratio Through Force and Temperature Analysis During Robotic Belt Grinding .. .)

Robotics & Machine Learning Daily News2024，Issue(Nov.5) ：104-105.

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Findings from Shanghai Jiao Tong University Provides New Data on Robotics (A Com prehensive Investigation Into the Mechanism of Belt Wear Influencing Heat Partit ion Ratio Through Force and Temperature Analysis During Robotic Belt Grinding .. .)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report.According to news reporting originating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “Robotic belt grinding serves as a pivotal method for achieving precision machining in re-manufacturing of aeroengine components made of Inconel 718.During grinding, the heat partiti on ratio (Rw) significantly influences the quality of the machined workpiece, wh ich is affected by many grinding parameters.”Financial support for this research came from China Postdoctoral Science Foundat ion.

Key words

Shanghai/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robotics/Robots/Shanghai Jiao Ton g University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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