Robotics & Machine Learning Daily News2024,Issue(Jun.24) :15-16.

Studies from Chemnitz University of Technology in the Area of Robotics Published (Analysis of the Position-dependent Vibration behaviour of an Industrial 6-axis Robot and Combined FE-based Modelling of the Mechanical Frequency Responses)

发表了Chemnitz技术大学在机器人领域的研究报告(工业6轴机器人与位置有关的振动行为分析和机械频率响应的铁基组合模型)

Robotics & Machine Learning Daily News2024,Issue(Jun.24) :15-16.

Studies from Chemnitz University of Technology in the Area of Robotics Published (Analysis of the Position-dependent Vibration behaviour of an Industrial 6-axis Robot and Combined FE-based Modelling of the Mechanical Frequency Responses)

发表了Chemnitz技术大学在机器人领域的研究报告(工业6轴机器人与位置有关的振动行为分析和机械频率响应的铁基组合模型)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于机器人的新研究结果已经公布。根据NewsRx记者来自Chemnitz科技大学的新闻报道,研究表明:“工业机器人(IR)是加工中心成本效益高、灵活性高的替代品。”新闻记者引用了Chemnitz大学技术研究所的一句话:“然而,它们在生产技术中分离过程的应用受到限制,因为它们的结构刚度低,精度相对较低。机器人的振动特性是提高精度的主要障碍。”由于刀具中心点(TCP)在工作空间中的位置会有很大的变化。为了应用振动补偿,有必要对机器人的振动特性进行足够精确的描述。本文提出了一种新的方法,即:利用参数化FEM模拟产生机器人的状态空间描述。模拟捕捉到每个轴的位置依赖的振动行为,然后将其整合到下游系统模拟中,从而对机器人的振动行为进行综合描述。经过微调后,模型显示出与实验确定的Beh Aviour非常一致。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics have bee n published. According to news reporting originating from Chemnitz University of Technology by NewsRx correspondents, research stated, "Industrial robots (IR) a re a cost-effective and highly flexible alternative to machining centres." The news reporters obtained a quote from the research from Chemnitz University o f Technology: "Nevertheless, their use for separating processes in production te chnology is limited because of their low structural rigidity, which results in c omparatively low accuracies. The vibration behaviour of the robots is a major ch allenge to increasing accuracy, as it can vary significantly depending on the po sition of the tool centre point (TCP) in the workspace. To apply vibration compe nsation, it is necessary to be able to describe the vibration behaviour of the r obot with sufficient accuracy. This article presents a new approach, utilising p arametric FEM simulation to generate a state space description of the robot. The simulation captures the pose-dependent vibration behaviour of each axis, which is then integrated into a downstream system simulation, resulting in a comprehen sive description of the robot's vibration behaviour. After being finely tuned, t he model demonstrates excellent alignment with the experimentally determined beh aviour."

Key words

Chemnitz University of Technology/Emerg ing Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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