Field Distribution Around Surface Cracks in Metallic Cylindrical Structures Excited by High-Frequency Current-Carrying Coils of Arbitrary Shape

Akbari-Khezri, Ali; Sadeghi, S.H.H.; Moini, R.

doi:10.1109/tmag.2014.2349939

Cited by 9 publications

(2 citation statements)

References 21 publications

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“…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.

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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.

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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.

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“…Ravan et al used a fuzzy learning approach to identify the depth profiles of arbitrary cracks [5]. Akbari-Khezri used Lewis's approach and Laplacian potential functions to derive closed-form solutions for cracks of a constant depth with longitudinal and circumferential orientations in cylindrical structures [6]. As to the application of the ACFM technique, Chacón Muñoz [7] et al suggested that the ACFM technique can be applied for the accurate and reliable detection of rolling contact fatigue (RCF) defects at a high inspection speed.…”

Section: Introductionmentioning

confidence: 99%

Investigation of optimal time-domain feature for non-surface defect detection through a pulsed alternating current field measurement technique

Chen

et al. 2017

Meas. Sci. Technol.

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The detectability of an alternating current field measurement (ACFM) for non-surface defects is improved by a pulsed alternating current field measurement (PACFM) technique. In this paper, the optimal time-domain feature of the PACFM technique for non-surface defect detection is investigated by numerical and experimental methods. In the simulation, the numerical model of the PACFM technique is built by the finite element software COMSOL. The mechanism for non-surface defect detection and the time-domain feature of the response signal are studied. It indicates that the value measured after the peak time has a better detection sensitivity and signal to noise ratio than the conventional peak value. Finally, the PACFM detection system is set up and the experimental results indicate that the 1.5 ms time point measured value in the response signal is the optimal time-domain feature for non-surface defect detection. For non-surface defects, the maximum changes in normalized Bx signals for the time point 1.5 ms are always larger than that for the peak time. When detecting surface defects, the maximum change in the normalized Bx signal for the peak time is always larger than that for the time point after the peak time. This phenomenon can be used to effectively classify surface defects and non-surface defects.

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An Efficient Modeling Technique for Analysis of AC Field Measurement Probe Output Signals to Improve Crack Detection and Sizing in Cylindrical Metallic Structures

et al. 2015

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Field Distribution Around Surface Cracks in Metallic Cylindrical Structures Excited by High-Frequency Current-Carrying Coils of Arbitrary Shape

Cited by 9 publications

References 21 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

Investigation of optimal time-domain feature for non-surface defect detection through a pulsed alternating current field measurement technique

An Efficient Modeling Technique for Analysis of AC Field Measurement Probe Output Signals to Improve Crack Detection and Sizing in Cylindrical Metallic Structures

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