Robotics & Machine Learning Daily News2024,Issue(Aug.6) :33-34.

Investigators at Dalian University of Technology Describe Findings in Robotics ( Chatter Prediction for Parallel Mirror Milling of Thinwalled Parts By Dual-robo t Collaborative Machining System)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :33-34.

Investigators at Dalian University of Technology Describe Findings in Robotics ( Chatter Prediction for Parallel Mirror Milling of Thinwalled Parts By Dual-robo t Collaborative Machining System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics have been pr esented. According to news originating fromDalian, People’s Republic of China, by NewsRx correspondents, research stated, “Thin-walled parts withdouble-sided features are widely used in the aerospace industry, but the machining of such pa rts stillfaces great challenges due to their weak rigid structure and the posit ioning errors caused by turning/reclampingof the workpiece. For this purpose, a novel machining approach for parallel mirror robotic millingof thin-walled pa rts is proposed.”

Key words

Dalian/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Dalian Unive rsity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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