机械加工
刚度
补偿(心理学)
机器人
计算机科学
机械手
生产力
工业机器人
机床
控制工程
制造工程
机械工程
工程类
人工智能
结构工程
精神分析
心理学
宏观经济学
经济
作者
Hui Zhang,Jianjun Wang,G. Zhang,Zhongxue Gan,Zengxi Pan,Huanqing Cui,Zhenqi Zhu
标识
DOI:10.1109/aim.2005.1511161
摘要
This paper presents the critical issues and methodologies to improve robotic machining performance with flexible industrial robots. Compared with CNC machines, the stiffness of industrial robots is significantly lower, resulting in unacceptable quality and lower productivity. The problem is treated with a novel methodology that consists of stiffness modeling, real-time deformation compensation for quality and controlled material removal rate for efficiency. Experimental results show that higher productivity as well as better surface accuracy can be achieved, indicating a promising and practical use of industrial robots for machining applications that is not possible at present
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