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Deformation Error Prediction and Compensation for Robot Multi-axis Milling

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Intelligent Robotics and Applications (ICIRA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10984))

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Abstract

Robot milling is an alternative to the expensive multi-axis NC for the large components, such as large scale marine propeller, with the advantage of less expensive and more flexible. However, the machining error mainly caused by poor stiffness of the joint is a critical obstacle for robot milling application. Especially for the robot multi-axis milling, the machining error is more difficult to predict and compensate due to the complicated coordinate transformation between the deformation of tool point and the cutting force feedback. The static stiffness model of robot milling system is established based on the joint stiffness matrix and Jacobian matrix. Using the static stiffness model and the cutting force model, an equilibrium equation with the variable of tool point deformation is established based on the constructed coordinate transformation for the theoretical cutting position and the actual cutting position in different coordinate systems. The analyzed results indicate that the milling error is mainly influenced by the translation of tool point. The proposed error prediction and compensation method is validated by the cutting experiments.

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Acknowledgment

This work was partially supported by the National Science Fund for Distinguished Young Scholars under Grant No. 51625502, Innovative Group Project of Hubei Province under Grant No. 2017CFA003 and the China Postdoctoral Science Foundation Funded Project (Project No. 2017M622412).

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Correspondence to Fangyu Peng .

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Tang, X. et al. (2018). Deformation Error Prediction and Compensation for Robot Multi-axis Milling. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_28

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  • DOI: https://doi.org/10.1007/978-3-319-97586-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97585-6

  • Online ISBN: 978-3-319-97586-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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