A Fast Analysis Technique for Electromagnetic Interaction of High-Frequency AC Current-Carrying Wires With Arbitrary-Shape Cracks in Ferrous Metals

Heidari, Teimour; Seidfaraji, H.; Sadeghi, S.H.H.; Moini, R.

doi:10.1109/tmag.2012.2211106

Cited by 10 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, the objective function, representing the error between the predicted and actual probe output signals, includes multiple unknown electric and magnetic field variables, thus increasing the likelihood of trapping in local minimum points for noisy signals. In fact, one cannot obtain an explicit relation for the objective function in terms of the unknown parameters of the crack depth profile, although several pseudo-analytical forward problem solvers methods have been developed for various ACFM testing modalities [26][27][28][29]. Besides, the computation of the error gradient in each iteration requires the solution of the forward problem which imposes additional computational costs.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Phenomenological Inversion Method for Reconstruction of Crack Depth Profile in a Metal From ACFM Probe Output Signals

Heidari

Sadeghi

2022

IEEE Open J. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

The paper proposes an efficient phenomenological inversion method to determine the depth profile of a surface-breaking crack in a metal from the output signal of an alternating current field measurement (ACFM) probe. The proposed method utilizes a conjugate gradient algorithm to minimize an objective function, representing the difference between probe predicted and actual signals in an iterative manner. The objective function is derived explicitly in terms of crack depth variables by considering a polynomial function for the field distribution in the depth direction and applying appropriate Green's functions. This approach enhances the accuracy and computational efficiency of the inversion process, regardless of the choice of initial crack depth profile or presence of noise in the measurement system. The validity and efficiency of the proposed method are demonstrated by comparing the reconstructed depth profiles of several simulated and machine-made cracks with their actual data, and those obtained using the conventional phenomenological approach based on an efficient stochastic optimization scheme along with a fast pseudoanalytic ACFM probe output simulator.

show abstract

Section: Introductionmentioning

confidence: 99%

An Efficient Phenomenological Inversion Method for Reconstruction of Crack Depth Profile in a Metal From ACFM Probe Output Signals

Heidari

Sadeghi

2022

IEEE Open J. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Different from the nonmagnetic material, both the magnetic permeability as well as electric conductivity in ferromagnetic steel are important material properties parameters. Therefore, some electromagnetic nondestructive techniques such as magnetic flux leakage (MFL) [3], magnetizing-based traditional eddy current [4], alternating current field measurement (ACFM) [5], metal magnetic memory (MMM) [6] and remote field eddy current (RFEC) [7] applied for the evaluation the surface cracks in ferromagnetic metals. However, MFL is unsuitable for detecting very narrow cracks (e.g.…”

Section: Introductionmentioning

confidence: 99%

Ensemble tensor decomposition for infrared thermography cracks detection system

Song

Gao

Woo

et al. 2020

Infrared Physics & Technology

View full text Add to dashboard Cite

Ferromagnetic steels are widely used in engineering structures such as rail track, oil/gas pipeline and steel hanging bridge. Cracks resulted from manufacturing processes or previous loading will seriously undermine the safety of the engineering structures and even lead to catastrophic industrial accidents. Accurate and quantitative characterization the cracks in ferromagnetic steels are therefore of vital importance. In this paper, the cracks in ferromagnetic steels are detected by the pulsed eddy current (PEC) technique. Firstly, the physical mechanism of the relative magnetic permeability of the ferromagnetic steel on the detection signal of PEC is interpreted from a microscopic level of magnetic domain wall movement. The relationship of the crack width/depth and the detection signal of PEC is then investigated and verified by numerical simulations and experimental study. Finally, the cracks are inversely characterized by using Genetic Algorithm (GA) based Back-Propagation (BP) neural network (NN) considering the nonlinearity of the crack geometric parameters with the detection signal of PEC. The prediction results indicated that the proposed algorithm can characterize the crack depth and width within the relative error of 10%. The proposed approach combining PEC and GA based BPNN has been verified to quantitatively detect cracks in ferromagnetic steel.

show abstract

“…For a variety of defects, bottom cracks caused by stress and fatigue are often hidden and dangerous. Present techniques for detecting bottom cracks, such as eddy current [1], [2], alternating current field measurement (ACFM) [3], and ultrasonic techniques [4] are used. As one of the nondestructive testing (NDT) techniques, potential drop technique has been used widely.…”

Section: Introductionmentioning

confidence: 99%

Novel Method for Sizing Metallic Bottom Crack Depth Using Multi-frequency Alternating Current Potential Drop Technique

Gan

Wan

et al. 2015

Measurement Science Review

View full text Add to dashboard Cite

Potential drop techniques are of two types: the direct current potential drop (DCPD) technique and alternating current potential drop (ACPD) technique, and both of them are used in nondestructive testing. ACPD, as a kind of valid method in sizing metal cracks, has been applied to evaluate metal structures. However, our review of most available approaches revealed that some improvements can be done in measuring depth of metal bottom crack by means of ACPD, such as accuracy and sensitivity of shallow crack. This paper studied a novel method which utilized the slope of voltage ratio-frequency curve to solve bottom crack depth by using a simple mathematic equation based on finite element analysis. It is found that voltage ratio varies linearly with frequency in the range of 5-15 Hz; this range is slightly higher than the equivalent frequency and lower than semi-permeable frequency. Simulation and experiment show that the novel method can measure the bottom crack depth accurately.

show abstract

A Fast Analysis Technique for Electromagnetic Interaction of High-Frequency AC Current-Carrying Wires With Arbitrary-Shape Cracks in Ferrous Metals

Cited by 10 publications

References 22 publications

An Efficient Phenomenological Inversion Method for Reconstruction of Crack Depth Profile in a Metal From ACFM Probe Output Signals

An Efficient Phenomenological Inversion Method for Reconstruction of Crack Depth Profile in a Metal From ACFM Probe Output Signals

Ensemble tensor decomposition for infrared thermography cracks detection system

Novel Method for Sizing Metallic Bottom Crack Depth Using Multi-frequency Alternating Current Potential Drop Technique

Contact Info

Product

Resources

About