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Digital Template System for Measuring Turbine Blade Forging and Its Calibration Method

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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

Because of complex profile and large size, the measurement of turbine blade is complicated and difficult. A digital template measurement system is developed, which is composed of two laser scanners, two linear motion modules, one turntable and the developed blade measure & analysis software. In order to achieve high precision, the specific calibration method is proposed for each part, such as the laser scanner, the motion direction of scanners, the relative pose between scanners, and the axis of the rotation module. In the first and second calibration stage, only the calibration board is adopted. After the camera is calibrated, the laser plane and the motion direction of scanner are determined with PnP method. In the third and fourth calibration state, the sphere is adopted as the feature to determine the parameters. In the experimental section, we analyze the precision of calibrated system and introduce the application of blade measurement.

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References

  1. Junhui, H., et al.: Overview on the profile measurement of turbine blade and its development. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 7656, no. 2 (2010)

    Google Scholar 

  2. Fu, Y., et al.: Three-dimensional profile measurement of the blade based on surface structured light. Optik - Int. J. Light Electron Opt. 124(18), 3225–3229 (2013)

    Google Scholar 

  3. Sun, B., Li, B.: A rapid method to achieve aero-engine blade form detection. Sensors 15(6), 12782–12801 (2015)

    Article  Google Scholar 

  4. Sun, B., Li, B.: Laser displacement sensor in the application of aero-engine blade measurement. IEEE Sens. J. 16(5), 1377–1384 (2016)

    Article  MathSciNet  Google Scholar 

  5. Zhang, F., et al.: Error modeling and compensation for high-precision non-contact four coordinate measuring system. Key Eng. Mater. 437, 232–236 (2010)

    Article  Google Scholar 

  6. Niola, V., et al.: A method for the calibration of a 3-D laser scanner. Robot. Comput. Integr. Manuf. 27(2), 479–484 (2011)

    Article  Google Scholar 

  7. Vilaca, J.L., Fonseca, J.C., Pinho, A.M.: Calibration procedure for 3D measurement systems using two cameras and a laser line. Opt. Laser Technol. 41(2), 112–119 (2009)

    Article  Google Scholar 

  8. Niu, M., et al.: Research on the method to calibrate structure parameters of line structured light vision sensor. In: International Conference on Mechanics, materials and Structural Engineering 2016 (2016)

    Google Scholar 

  9. Dewar, R.: Self-generated targets for spatial calibration of structed-light optical sectioning sensors with respect to an external coordinate system. In: Proceedings of Robots and Vision 1988 Conference, Detroit, pp. 5–13 (1988)

    Google Scholar 

  10. Wei, J., Liu, Z., Cheng, F.: Vision sensor calibration method based on flexible 3d target and invariance of cross ratio. In: International Conference on Information Sciences, Machinery, Materials and Energy 2015 (2015)

    Google Scholar 

  11. Xu, G., et al.: Global calibration and equation reconstruction methods of a three dimensional curve generated from a laser plane in vision measurement. Opt. Express 22(18), 22043 (2014)

    Article  Google Scholar 

  12. Sun, J., et al.: A vision measurement model of laser displacement sensor and its calibration method. Opt. Lasers Eng. 51(12), 1344–1352 (2013)

    Article  Google Scholar 

  13. Yong-An, X.U., Qin, Y., Jin-Peng, H.: Calibration of the axis of the turntable in 4-axis laser measuring system and registration of multi-view. Chin. J. Lasers 32(5), 659–662 (2005)

    Google Scholar 

  14. Park, S.Y., Subbarao, M.: A multiview 3D modeling system based on stereo vision techniques. Mach. Vis. Appl. 16(3), 148–156 (2005)

    Article  Google Scholar 

  15. Li, J., et al.: Calibration of a multiple axes 3-D laser scanning system consisting of robot, portable laser scanner and turntable. Opt. Int. J. Light Electron Opt. 122(4), 324–329 (2011)

    Article  Google Scholar 

  16. Kurnianggoro, L., Hoang, V.D., Jo, K.H.: Calibration of a 2D laser scanner system and rotating platform using a point-plane constraint. Comput. Sci. Inf. Syst. 12(1), 307–322 (2015)

    Article  Google Scholar 

  17. Pang, X., et al.: A tool-free calibration method for turntable-based 3D scanning systems. IEEE Comput. Graph Appl. 36(1), 52–61 (2016)

    Article  Google Scholar 

  18. Zhang, Z.: A flexible new technique for camera calibration. TPAMI 22(11), 1330–1334 (2000)

    Article  Google Scholar 

  19. Wu, Y., Hu, Z.: PnP problem revisited. J. Math. Imaging Vis. 24(1), 131–141 (2006)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This research was partially supported by The key research project of Ministry of science and technology (Grant no. 2017YFB1301503) and the National Nature Science Foundation of China (Grant No. 51575332).

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Correspondence to Xu Zhang .

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Cai, Y., Zhang, X., Zheng, Z., Zhu, L., Zhu, Y. (2018). Digital Template System for Measuring Turbine Blade Forging and Its Calibration Method. 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_31

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  • DOI: https://doi.org/10.1007/978-3-319-97586-3_31

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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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