Controlling harmful milling vibration for robotic milling system based on the optimization of milling posture and spindle speed

Harmful machining vibration including milling chatter and resonance are easily generated during robotic milling process, and it seriously restrict the machining ability of the robot. To address this problem, a harmful machining vibration-controlled method based on the combined optimization of milling posture and spindle speed is proposed for robotic milling system in this paper. With this context, firstly, the robot stiffness model is established based on the theory of the multi-body with small-deformation, and the stiffness ellipsoid at the tool cutting point is used to optimize the milling posture, so that the structure stiffness of the robot can be enhanced; Then, the robot chatter stability model is constructed considering the modal coupling effect, and the spindle speed is optimized to restrain the milling chatter and resonance. Finally, with the optimized milling posture and spindle speed, the milling process is planned and performed with a Staubli TX-200 robot, and two experiments for workpiece with steel and aluminum are implemented to verify the proposed method. The experiment results demonstrate that the comprehensive optimization of milling posture and spindle speed can efficiently control the harmful machining vibration for the robotic milling system, thus, the machining quality of the workpiece can be improved.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Published
2024-11-15
DOI
https://doi.org/10.1177/09544054241298157
Citations
3
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.64

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article

Controlling harmful milling vibration for robotic milling system based on the optimization of milling posture and spindle speed

Lianyu Zheng, Maoyuan Shi, Yuehong Zhang, Xiong Zhao
3 citations
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Advanced machining processes and optimization
0.64
article

Controlling harmful milling vibration for robotic milling system based on the optimization of milling posture and spindle speed

Lianyu Zheng, Maoyuan Shi, Yuehong Zhang, Xiong Zhao
article en
3 citations

Abstract

Harmful machining vibration including milling chatter and resonance are easily generated during robotic milling process, and it seriously restrict the machining ability of the robot. To address this problem, a harmful machining vibration-controlled method based on the combined optimization of milling posture and spindle speed is proposed for robotic milling system in this paper. With this context, firstly, the robot stiffness model is established based on the theory of the multi-body with small-deformation, and the stiffness ellipsoid at the tool cutting point is used to optimize the milling posture, so that the structure stiffness of the robot can be enhanced; Then, the robot chatter stability model is constructed considering the modal coupling effect, and the spindle speed is optimized to restrain the milling chatter and resonance. Finally, with the optimized milling posture and spindle speed, the milling process is planned and performed with a Staubli TX-200 robot, and two experiments for workpiece with steel and aluminum are implemented to verify the proposed method. The experiment results demonstrate that the comprehensive optimization of milling posture and spindle speed can efficiently control the harmful machining vibration for the robotic milling system, thus, the machining quality of the workpiece can be improved.

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering ManufactureVol. 239(12)
China Academy of Launch Vehicle Technology (CN), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 35%
Advanced machining processes and optimization
0.64
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Controlling harmful milling vibration for robotic milling system based on the optimization of milling posture and spindle speed — Lianyu Zheng, Maoyuan Shi, et al. · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024) | TGRS Research Map | TGRS