Fig. 1. Principle of magnetic flux leakage method (Kim and Park, 2017)
Fig. 2. Principle of Hall effect (Lenz, 1990)
Fig. 3. Magnetic hysteresis curve (B-H curve) (Lacheisserie et al. 2005)
Fig. 4. Permeability hysteresis curve (Shin, 1995)
Fig. 5. Magnetic flux distribution according to magnetization level (Boat et al., 2014)
Fig. 6. Signal processing process for noise reduction
Fig. 7. Fabricated MFL sensor head
Fig. 8. Specifications of steel plate specimen
Fig. 9. Thickness of steel plate specimens
Fig. 10. MFL signals from 2 mm thickness steel plate
Fig. 11. P-P value according to damage depth
Fig. 12. MFL signals from 5 mm thickness steel plate
Fig. 13. MFL signals from 10 mm thickness steel plate
Fig. 14. MFL signals from 5 mm thickness steel plate
Fig. 15. P-P value of MFL signal according to thickness
References
- Boat, M., Pearson, N., Lieb, R., Davies, J., James, R., and Woodhead, B. (2014). The factors that affect the defect sizing capabilities of the Magnetic Flux Leakage Technique. 53rd Annual Conference of the British Institute of Non-Destructive Testing.
- Goktepe, M. (2001). Non-destructive crack detection by capturing local flux leakage field. Sens. Actuator. A Phys. 91(1-2): 70-72. https://doi.org/10.1016/S0924-4247(01)00511-8
- Kang, D., Oh, J.-T., Kim, J.-W., Park, S. (2015). Study on MFL Technology for Defect Detection of Railroad Track Under Speed-up Condition. Journal of the Korean Society for Railway. 18(5): 401-409. https://doi.org/10.7782/JKSR.2015.18.5.401
- Kim, J.-W., Park, M., Kim, J., and Park, S. (2018). Improvement of MFL sensing-based damage detection and quantification for steel bar NDE. Smart Structures and Systems. 22(2): 239- 247. https://doi.org/10.12989/SSS.2018.22.2.239
- Kim, J.-W. and Park, S. (2017). Magnetic flux leakage-based local damage detection and quantification for steel wire rope nondestructive evaluation. J. Intell. Mater. Syst. Struct. 29(17): 3396-3410. https://doi.org/10.1177/1045389X17721038
- Korea Highway Corporation (2005). A study for preventive maintenance of bridge. Road & Traffic ST-05-09.
- Lacheisserie, E. D. T. D., Gignoux, D., and Schienker, M. (2005). Magnetism: Materials and Applications. Springer, Boston, USA.
- Lee, M.-G. and Lee, S.-Y. (2008). A Study on the Fatigue Behavior of the Welded Structural Details in Plate Girder. J. of Korean Society of Safety. 23(2): 14-20.
- Lenz, J. E. (1990). A review of magnetic sensors. Proc. of the IEEE. 78(6): 973-989. https://doi.org/10.1109/5.56910
- Ministry of Land, Infrastructure and Transport (2017). Yearbook of road bridge and tunnel statistics 2017. MOLIT 11-1613000- 000108-10.
- Mukhopadhyay, S. and Srivastava, G. P. (2008). Detection of leakage magnetic flux from near-side and far-side defects in carbon steel plates using a giant magneto-resistive sensor. Measurement Science and Technology. 19(1): 1-8.
- Park, J.-U. and Park, K.-H. (2008). Fatigue Life Evaluation of Steel Bridge with Welding Defects. J. of Advanced Engineering and Technology. 1(2): 307-314.
- Park, S. H. and Park, G. S. (2002). Research on MFL PIG Design for the Inspection of Underground Gas Pipeline. J. of the Korean Society for Nondestructive Testing. 22(2): 177-186.
- Park, S., Kim, J.-W., Lee, C., and Lee, J.-J. (2014). Magnetic Flux Leakage Sensing-Based Steel Cable NDE Technique. Shock and Vibration, 2014: 929341.
- Ramsden, E. (2006). Hall-effect Sensors: Theory and Applications. 2nd ed.. Newnes Books, Oxford, UK.
- Shin, Y.-K. (1995). Numerical Prediction of Operating Conditions for Magnetic Flux Leakage Inspection of Moving Steel Sheets. Proc. of the Korean Society for Nondestructive Testing. 1995: 52-56.
- Shi, Y., Zhang, C., Li, R., Cai, M., and Jia, G. (2015). Theory and application of magnetic flux leakage pipeline detection. Sensors. 15(12): 31036-31055. https://doi.org/10.3390/s151229845