期刊
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
卷 66, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rcim.2020.101992
关键词
Industrial robot; Robotic machining; Static stiffness; Dynamic stiffness; Pose optimization
资金
- Boeing through the Georgia TechBoeing Strategic University Partnership
Industrial robots are typically not used for milling of hard materials due to their low stiffness compared to traditional machine tools. Due to milling being a five degree of freedom (dof) operation, a typical six dof serial manipulator introduces a redundant degree of freedom in the robot pose. This redundancy can be exploited to optimize the pose of the robot during milling to minimize force-induced deflections at the end-effector. Stiffness modeling and optimization techniques for industrial robots utilizing both static (no mass and damping terms) and dynamic (mass and damping terms included) models exist. This paper presents a comparative study of robot pose optimization using static and dynamic stiffness models for different cutting scenarios. Milling experiments show that while a dynamic model-based robot pose optimization yields significant improvement over a static model-based optimization for cutting conditions where the time varying cutting forces approach the robots natural frequencies, a static model-based optimization is sufficient when the frequency content of the cutting forces are not close to the robots natural frequencies.
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