MACA Algorithm to Accelerate Modeling of Eddy Current Position Sensor

Authors

  • Yang Bao Department of Electrical and Computer Engineering Iowa State University, Ames, IA 50011, USA
  • Zhiwei Liu Department of Information Engineering East China Jiaotong University, Nanchang, Jiangxi 330013, China
  • Jiming Song Department of Electrical and Computer Engineering Iowa State University, Ames, IA 50011, USA

Keywords:

Eddy current nondestructive evaluation, modified adaptive cross approximation, position sensor

Abstract

In this paper, we proposed a Modified Adaptive Cross Approximation (MACA) algorithm method to model an eddy current probe used as position sensor in Nondestructive Evaluation (NDE). Eddy current based position sensor can be used when optical aids cannot to guide the position of the coil. We use surface integral equation technique with selected Stratton-Chu formulation and apply MACA algorithm to accelerate the calculation of impedance change for the position sensor. Good performance of proposed method is demonstrated with numerical examples.

References

NDT resource center, “Tube inspection,” [Online]. Available at: https://www.nde-ed.org/Education Resources/CommunityCollege/EddyCurrents/App lications/tubeinspection.htm. [Accessed: 19 Apr., 2018].

T. Wu and J. R. Bowler, “Electromagnetic modeling of an eddy-current position sensor for use in a fast reactor,” in 43rd Annual Review of Progress in Quantitative Nondestructive Evaluation, vol. 1806, Atlanta, GA, USA, July 2016.

N. Ida and W. Lord, “A finite element model for three dimensional eddy current NDT phenomena,” IEEE Trans. on Magnetics, vol. 21, no. 6, pp. 2635- 2643, Nov. 1985.

S. J. Song and Y. K. Shin, “Eddy current flaw characterization in tubes by neural networks and finite element modeling,” NDT & E International, vol. 33, no. 4, pp. 233-243, June 2000.

M. Bebendorf, “Approximation of boundary element matrices,” Numer. Math., vol. 86, no. 4, pp. 565-589, June 2000.

K. Zhao, M. N. Vouvakis, and J. F. Lee, “The adaptive cross approximation algorithm for accelerated method of moments computations of EMC,” IEEE Trans. Electromagn. Compat., vol. 47, no. 4, pp. 763-773, Nov. 2005.

S. Bӧrm and L. Grasedyck, “Hybrid cross approximation of integral operators,” Numer. Math., vol. 101, no. 2, pp. 221-249, Aug. 2005.

M. Yang, “Efficient Method for Solving Boundary Integral Equation in Diffusive Scalar Problem and Eddy Current Nondestructive Evaluation,” Ph.D. dissertation, Iowa State Uni., Ames, IA, USA, 2010.

Y. Bao, Z. W. Liu, and J. M. Song, “Adaptive cross approximation algorithm for accelerating BEM in eddy current nondestructive evaluation,” Journal of Nondestructive Evaluation, under review.

T. Wu and J. R. Bowler, “Eddy-current induction by a coil whose axis is perpendicular to that of a tube,” IEEE Trans. Magnetics, vol. 53, no. 7, pp. 1-9, July 2017.

Downloads

Published

2019-08-01

How to Cite

Yang Bao, Zhiwei Liu, & Jiming Song. (2019). MACA Algorithm to Accelerate Modeling of Eddy Current Position Sensor. The Applied Computational Electromagnetics Society Journal (ACES), 34(08), 1262–1265. Retrieved from https://journals.riverpublishers.com/index.php/ACES/article/view/8315

Issue

Section

Articles