DOI QR코드

DOI QR Code

Comparison of Three Modeling Methods for Identifying Unknown Magnetization of Ferromagnetic Thin Plate

  • Choi, Nak-Sun (Department of Electrical Engineering, Kyungpook National University) ;
  • Kim, Dong-Wook (Department of Electrical Engineering, Kyungpook National University) ;
  • Yang, Chang-Seob (The 6th R&D Institute-2, Agency for Defense Development) ;
  • Chung, Hyun-Ju (The 6th R&D Institute-2, Agency for Defense Development) ;
  • Kim, Hong-Joon (Department of Electrical Engineering, Kyungpook National University) ;
  • Kim, Dong-Hun (Department of Electrical Engineering, Kyungpook National University)
  • Received : 2011.04.04
  • Accepted : 2011.06.14
  • Published : 2011.11.01

Abstract

This study presents three different magnetization models for identifying unknown magnetization of the ferromagnetic thin plate of a ship. First, the forward problem should be solved to accurately predict outboard magnetic fields due to the magnetization distribution estimated at a certain time. To achieve this, three different modeling methods for representing remanent magnetization (i.e., magnetic charge method, magnetic dipole array method, and magnetic moment method) were utilized. Material sensitivity formulas containing the first-order gradient information of an objective function were then adopted for an efficient search of an optimum magnetization distribution on the hull. The validity of the proposed methods was tested with a scale model ship, and field signals predicted from the three different models were thoroughly investigated with reference to the experimental data.

Keywords

References

  1. O. Chadebec, et. al., "Recent improvements for solving inverse magnetostatic problem applied to thin shells," IEEE Trans. Magn., vol. 38, no. 2, pp. 1005-1008, March 2002. https://doi.org/10.1109/20.996258
  2. O. Chadebec, J. Coulomb, G. Cauffet and J. Bongiraud, "How to well pose a magnetization identification problem," IEEE Trans. Magn., vol. 39, no. 3, pp. 1634-1637, May 2003. https://doi.org/10.1109/TMAG.2003.810429
  3. Y. Vuillerment, et. al., O. "Scalar potential formulation and inverse problem applied to thin magnetic sheets," IEEE Trans. Magn., vol. 39, no. 6, pp. 1054-1057 , 2008.
  4. C. Yang, K. Lee, G. Jung. H. Chung, J. Park and D. Kim, "Efficient methodology for solving an inverse magnetostatic problem by utilizing material sensitivity," J Appl. Physics, vol. 103, pp. 905-907, 2008.
  5. K. Lee, et. al., "Implementation of material sensitivity analysis for determining unknown remanent magnetization of a ferromagnetic thin shell," IEEE Trans. Magn., vol. 45, no. 3, pp. 1478-1481, March 2009. https://doi.org/10.1109/TMAG.2009.2012684
  6. G. Jeung, et. al., "Magnetic dipole modeling combined with material sensitivity analysis for solving an inverse problem of thin ferromagnetic sheet," IEEE Trans. Magn., vol. 45, no. 10, pp. 4169-4172, 2009. https://doi.org/10.1109/TMAG.2009.2021853
  7. D. H. Kim, et al, "A novel scheme for material updating in source distribution optimization of magnetic devices using sensitivity analysis," IEEE Trans. Magn., vol. 41, no. 5, pp. 1752-1755, May 2005. https://doi.org/10.1109/TMAG.2005.846036
  8. D. H. Kim, et al, "Design optimisation of electromagnetic devices using continuum design sensitivity analysis combined with commercial EM software," IET Sci., Meas. & Tech., vol. 1, no. 1, pp. 30-36, 2007. https://doi.org/10.1049/iet-smt:20060024
  9. DOT User Manual, Vanderplaats Research & Development, Inc., Colorado Springs: USA, 2001.
  10. MagNet 6 User's Guide, Infolytica Corporation, Quebec: Canada, 2005.

Cited by

  1. A Magnetic Field Separation Technique for a Scaled Model Ship through an Earth's Magnetic Field Simulator vol.20, pp.1, 2015, https://doi.org/10.4283/JMAG.2015.20.1.062