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Intelligent Double-Eccentric Disc Normal Adjustment Cell in Robotic Drilling

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 213))

Abstract

An intelligent verticality adjustment method named double-eccentric disc normal adjustment (DENA) is presented in precise robotic drilling for aero-structures. The DENA concept is conceived specifically to address the deviation of the spindle from the surface normal at the drilling point. Following the concept of intelligent and accurate normal adjustment, two precise eccentric discs (PEDs) with the identical eccentric radius are adopted. Indispensably, two high-resolution stepper motors are used to provide rotational power for the two PEDs. Once driven to rotate with appropriate angles respectively, two PEDs will carry the spindle to coincide with the surface normal, keeping the vertex of the drill bit still to avoid the repeated adjustment with the help of the spherical plain bearing. Since the center of the spherical plain bearing coincides with the vertex of the drill bit, successful implementation of DENA has been accomplished on an aeronautical drilling robot platform. The experimental results validate that DENA in robotic drilling is attainable in terms of intelligence and accuracy.

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Acknowledgments

This work is partially supported by National High Technology Research and Development Program (863 Program) of China under grant No. 2011AA040902, National Natural Science Foundation of China under grant No. 61075084, and Fund of National Engineering and Research Center for Commercial Aircraft Manufacturing, (Project No. is SAmc12-7s-15-020).

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Correspondence to Peijiang Yuan .

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© 2014 Springer-Verlag Berlin Heidelberg

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Yuan, P. et al. (2014). Intelligent Double-Eccentric Disc Normal Adjustment Cell in Robotic Drilling. In: Sun, F., Li, T., Li, H. (eds) Foundations and Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37829-4_39

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  • DOI: https://doi.org/10.1007/978-3-642-37829-4_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37828-7

  • Online ISBN: 978-3-642-37829-4

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