Robotics & Machine Learning Daily News2024,Issue(Aug.29) :50-50.

Researchers from Beijing Institute of Technology Describe Findings in Robotics ( Stability Prediction for Robotic Milling Based On Tool Tip Frequency Response Pr ediction By Considering the Interface Stiffness of Spindle-tool System)

Robotics & Machine Learning Daily News2024,Issue(Aug.29) :50-50.

Researchers from Beijing Institute of Technology Describe Findings in Robotics ( Stability Prediction for Robotic Milling Based On Tool Tip Frequency Response Pr ediction By Considering the Interface Stiffness of Spindle-tool System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The change of tool tipfrequency response caused by the posture dependence of robot dynamic is one of the key pr oblems thatmake it difficult to accurately predict the milling stability of rob ot. In this paper, a tool tip frequencyresponse prediction method considering t he interface stiffness characteristics of spindle-tool system isproposed for st ability prediction of robotic milling under the condition of posture variation.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Beijing Ins titute 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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