1995
DOI: 10.1016/0963-8695(94)00004-4
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Magnetic leakage field due to sub-surface defects in ferromagnetic specimens

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Cited by 25 publications
(14 citation statements)
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“…8 in the case of other lift-off values. Essentially, the flaw signal strength of ∆By is more sensitive to the thickness 7) . Thus, similar experiments for the specimen with a different thickness of 22 mm were performed.…”
Section: Specimens and Experimental Proceduresmentioning
confidence: 99%
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“…8 in the case of other lift-off values. Essentially, the flaw signal strength of ∆By is more sensitive to the thickness 7) . Thus, similar experiments for the specimen with a different thickness of 22 mm were performed.…”
Section: Specimens and Experimental Proceduresmentioning
confidence: 99%
“…The practical and usable analytical model for magnetic leakage field arising from a far-side flaw deals with the equivalent double current model 7) with the basic geometry shown in Fig. 9.…”
Section: Theoretical Calculations Of the Magnetic Leakage Fieldmentioning
confidence: 99%
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“…Förster [6] derived analytical expression for the induced surface charge density of surface defects with rectangular cross-sections by accounting the magnetic properties of the material and the applied magnetizing field strength. Zhang et al [7] proposed an analytical expression for two kinds of sub-surface defects, such as rectangular defects and elliptical defects, while considering the magnetic image effects from the spatial boundary and the defect boundary. Mandache and Clapham developed an analytical model based on dipolar magnetic charge to determine the larger length of surface breaking defects in ferromagnetic steel plate.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional non-destructive testing and evaluation (NDT and NDE) techniques include ultrasonic technology [1], acoustic emission [2], magnetic field analysis [3], penetrate testing [4], eddy current techniques [5], X-ray analysis [6], impact-echo testing [7], global structural response analysis [8] and imaging and usage of wavelet [9]. These methods propose many different algorithms for identifying and localizing the damage.…”
Section: A Introductionmentioning
confidence: 99%