Robotics & Machine Learning Daily News2024,Issue(Jun.27) :9-10.

Findings from Huazhong University of Science and Technology Update Knowledge of Robotics (A Novel Mode Coupling Mechanism for Predicting Low-frequency Chatter I n Robotic Milling By Providing a Vibration Feedback Perspective)

华中科技大学的发现更新了机器人学知识(一种通过振动反馈预测机器人铣削低频颤振的新型模式耦合机制)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :9-10.

Findings from Huazhong University of Science and Technology Update Knowledge of Robotics (A Novel Mode Coupling Mechanism for Predicting Low-frequency Chatter I n Robotic Milling By Providing a Vibration Feedback Perspective)

华中科技大学的发现更新了机器人学知识(一种通过振动反馈预测机器人铣削低频颤振的新型模式耦合机制)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的最新数据在一份新的报告中呈现。根据《中华人民共和国武汉消息》,NewsRx记者报道:“铣削加工过程中机器人机体的低频颤振(LF C)严重制约了加工效率,以往的研究以经典模态耦合机制为基础,建立了各种稳定性模型来预测机器人铣削过程中的LF C。”本研究经费来源于国家自然科学基金(NSFC)。

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 originating from Wuhan, People’s Republic of C hina, by NewsRx correspondents, research stated, “The low -frequency chatter (LF C) of the robot body during milling severely constrains the machining efficiency . Taking the classical mode coupling mechanism as the underlying foundation, pre vious studies have developed various stability models to predict the LFC in robo tic milling.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Wuhan/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Huazhong University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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