IJAT Vol.10 No.6 pp. 977-984
doi: 10.20965/ijat.2016.p0977

Technical Paper:

A Surface Normal On-Machine Measuring Method Using Eddy-Current (EC) Sensor Array

Meng Lian*, Hai Bo Liu*,†, Yong Qing Wang*, Yang Li**, Xian Jun Sheng**, and Ying Wei Ying*

*Department of Mechanical Engineering, Dalian University of Technology
No. 2 Linggong Road, Dalian, China

Corresponding author,

**Department of Electrical Engineering, Dalian University of Technology
No. 2 Linggong Road, Dalian, China

April 7, 2016
August 10, 2016
November 4, 2016
normal vector measurement, EC sensor array, inclination error, coupling interference, calibration
Normal vector measurements of the machining point and attitude adjustments of the end effector are key aspects to meet the technological requirements of hole verticality in auto-drilling and the residual wall thickness in mirror milling. In this paper, a surface normal on-machine measuring method using an EC sensor array is proposed. The influences of the object surface inclination and the sensor array arrangement on the performance of EC displacement sensors were investigated, and the sensor measuring errors from coupling interference were effectively eliminated. Moreover, a practical calibration algorithm was established in which the positions of the EC sensors in a normal vector calculation model were accurately corrected. The feasibility of the measuring method was validated through a calibration experiment, as well as a measurement experiment based on the calibration results. The accuracy of a normal vector measurement is improved when applying the accuracy compensation and position calibration algorithm of an EC array to engineering practices.
Cite this article as:
M. Lian, H. Liu, Y. Wang, Y. Li, X. Sheng, and Y. Ying, “A Surface Normal On-Machine Measuring Method Using Eddy-Current (EC) Sensor Array,” Int. J. Automation Technol., Vol.10 No.6, pp. 977-984, 2016.
Data files:
  1. [1] M. Wang, S. D. Xue, H. Y. Jiang, Y. B. Wang, and L. Yu, “Development of Knowledge-based System on Aircraft Assembly Drilling Process,” IEEE Int. Conf. on Information Science and Engineering (ICISE), pp. 1–4, 2010.
  2. [2] W. Tian, W. Zhou, W. Zhou, et al., “Auto-normalization algorithm for robotic precision drilling system in aircraft component assembly,” Chinese J. of Aeronautics, Vol.26, No.2, pp. 495-500, 2013.
  3. [3] Y. Zhao, Z. S. Wang, H. Wang, et al., “Stiffness Analysis and Optimization of Supporting Mechanism Based on Tricept for Thin-walled Part Milling System,” The 14th IFToMM World Congress, pp. 25-30, October 2015.
  4. [4] Z. G. Zhang and X. M. Xu, “MMS: The latest green skin machining system,” Aeronautical Manufacturing Technology, Vol.19, pp. 84–86, 2010.
  5. [5] S. R. Speller, H. Thomas, J. W. Davern, et al., “Five axis riveter and system,” U.S. Patent No.4, p. 966,323, 1990.
  6. [6] B. M. Roberts, “Method and apparatus for positioning a workpiece and tooling,” U.S. Patent No.5, p. 357,668, 1994.
  7. [7] R. DeVlieg, K. Sitton, and E. Feikert, “ONCE (one-sided cell end effector) robotic drilling system,” SAE Technical Paper, Vol.2002-01, p. 2626, 2002.
  8. [8] A. Kayani and J. Jamshid, “Measurement assisted assembly for large volume aircraft wing structures,” The 4th Int. Conf. on Digital Enterprise Technology, pp. 426-434, 2007.
  9. [9] R. T. Lee and F. J. Shiou, “Multi-beam laser probe for measuring position and orientation of freeform surface,” Measurement, Vol.44, No.1, pp. 1-10, 2011.
  10. [10] F. J. Shiou and Y. F. Lin, “Calculation of the normal vector using 3×3 moving mask method for freeform surface measurement and its application,” Int. J. of Advance Manufacturing Technology, Vol.19, pp. 516–524, 2002.
  11. [11] H. Fujimoto, A. Waseda, and X. W. Zhang, “Profile measurement of polished surface with respect to a lattice plane of a silicon crystal using a self-referenced lattice comparator,” Int. J. Automation Technol., Vol.5, No.2, pp. 179-184, 2011.
  12. [12] P. Herman, “Focus Manufacturing NDT Reference Standards, The NDT Technician A Quarterly Publication for the NDT Practitioner,”
  13. [13] G. Y. Tian, Z. X. Zhao, and R. W. Baines, “Precision measurement using an eddy current sensor device,” Proc. of Twelfth National Conf. on Manufacturing Research, pp. 226-231, 1996.
  14. [14] T. Azuma, R. Ito, and S. Soma et al., “Development of non-destructive technology for detecting grinding burns,” Int. J. Automation Technol., Vol.7, No.6, pp. 700-707, 2013.
  15. [15] G. Y. Tian, Z. X. Zhao, and R. W. Baines, “The design of miniaturized displacement transducers for deep hole diameter measurement,” Mechatronics, Vol.9, pp. 317-327, 1999.
  16. [16] T. Yamaguchi, Y. Iwai, and S. Inagaki, “A method for detecting bearing wear in a drain pump utilizing an eddy-current displacement sensor,” Measurement, Vol.33, pp. 205–211, 2003.
  17. [17] P. Wang, Z. B. Fu, and T. H. Ding, “A frameless eddy current sensor for cryogenic displacement measurement,” Sensors and Actuators A: Physical, Vol.159, pp. 7–11, 2010.
  18. [18] D. N. Cardwell, K. S. Chana, and P. Russhard, “The use of eddy current sensors for the measurement of rotor blade tip timing- sensor development and engine testing,” The Proc. of ASME Turbo Expo 2008: Power for Land, Sea and Air, pp. 792-802, 2008.
  19. [19] Y. Le Bihan, “Lift-off and tilt effects on eddy current sensor measurements: a 3-D finite element study,” The European Physical J. Applied Physics, Vol.17, No.1, pp. 25-28, 2002.
  20. [20] Y. Li, X. J. Sheng, M. Lian, et al., “Influence of tilt angle on eddy current displacement measurement,” Nondestructive Testing and Evaluation, pp. 1-14, 2015.
  21. [21] ISO/GUM, Guide to the expression of uncertainty in measurement -ISO [ISBN 92-67-10188-9], 1995.

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