Fuzzy Characterization of Flawed Metallic Plates With Eddy Current Tests

Cacciola, Matteo; Morabito, Francesco Carlo; Polimeni, Daniela; Versaci, Mario

doi:10.2528/pier07031301

Cited by 25 publications

(16 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are a variety of nondestructive testing (NDT) techniques employed in industries, such as magnetic particle inspection (MPI), electromagnetic methods (EM), eddy current methods, and ultrasonic methods [1][2][3][4][5][6][7]. Due to its advantages of having good penetration depth and mechanical flexibility, the piezoelectric ultrasonic method is widely used for thickness measurement, flaw evaluation, and material characterization [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Simulation of an Electromagnetic Acoustic Transducer Array by Using Analytical Method and FDTD

et al. 2016

View full text Add to dashboard Cite

Previously, we developed a method based on FEM and FDTD for the study of an Electromagnetic Acoustic Transducer Array (EMAT). This paper presents a new analytical solution to the eddy current problem for the meander coil used in an EMAT, which is adapted from the classic Deeds and Dodd solution originally intended for circular coils. The analytical solution resulting from this novel adaptation exploits the large radius extrapolation and shows several advantages over the finite element method (FEM), especially in the higher frequency regime. The calculated Lorentz force density from the analytical EM solver is then coupled to the ultrasonic simulations, which exploit the finite-difference time-domain (FDTD) method to describe the propagation of ultrasound waves, in particular for Rayleigh waves. Radiation pattern obtained with Hilbert transform on time-domain waveforms is proposed to characterise the sensor in terms of its beam directivity and field distribution along the steering angle, which can produce performance parameters for an EMAT array, facilitating the optimum design of such sensors.

show abstract

Section: Introductionmentioning

confidence: 99%

Simulation of an Electromagnetic Acoustic Transducer Array by Using Analytical Method and FDTD

et al. 2016

View full text Add to dashboard Cite

show abstract

“…However, these preliminary experimental results only enable to assess the effects of the metallization ageing. The actual ageing state evaluation requires one i) to develop an accurate modeling tool of the interactions between the EC probe/power module [14,15] and ii) to solve the inverse problem so as to estimate the value of the metallization conductivity starting from the collected EC data.…”

Section: Basic Principles Of the Ec Methods Usedmentioning

confidence: 99%

Estimation of the Ageing of Metallic Layers in Power Semiconductor Modules Using the Eddy Current Method and Artificial Neural Networks

Nguyen¹,

Joubert²,

Lefebvre³

2014

PIER M

View full text Add to dashboard Cite

Abstract-In high power operations, the ageing of power semiconductor modules has been often observed by several failures due to high temperature cycling. The main failures may be metallization reconstruction, solder delaminations, bond wire lift-offs or bond wire heel crackings, conchoidal breaking of ceramics. The paper focuses on the non-contact monitoring of the ageing of the aluminum metallization top layer and of the solder bottom layer of a power die, using the eddy current method. The ageing is assumed to induce a decrease of these layers conductivity. The evaluation of both layers conductivity changes are estimated using artificial neural networks starting from eddy current data provided by finite element computations carried out in the case of several aged die configurations. The error of estimation is less than a few percent in the considered cases and it demonstrates the relevance of the eddy current method to monitor the ageing state of power modules. The proposed approach provides relevant results which will be validated on experimental data in future works.

show abstract

“…So it is never immediate to characterize defect from the obtained EC data. As a consequence and since only EC data obtained at the surface of the inspected media are available, the associated inverse problem is actually "ill-posed" [2,4], i.e., the solution of the problem may not be unique or even not exist.…”

Section: Introductionmentioning

confidence: 99%

“…So to elaborate a quantitative EC imaging technique in spite of these strong limitations, it is firstly necessary to dispose a 3D modeling of the EC interactions, which is both accurate and computationally efficient, so that the solving of the inverse problem can be made possible [2,5].…”

Section: Introductionmentioning

confidence: 99%

“…In order to turn the EC technique into an actual imaging technique, i.e., a technique able to evaluate the inner features of the tested media in a given inspection volume, it is necessary to i) elaborate an EC device able to provide relevant information relative to a sufficiently large inspection volume, ii) elaborate a model that can accurately foresee the three dimensional (3D) interactions between the EC device and the investigated part, and iii) solve the inverse problem that consists in estimating the features of the part, in the considered volume, starting from the experimental data and using the interaction model [2]. As opposed to some other techniques such as X-ray, Gamma-Ray or ultrasonic imaging, the EC imaging technique is actually quite difficult to carry out in a quantitative manner.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Differential DPSM Based Modeling Applied to Eddy Current Imaging Problems

Boré¹,

Joubert²,

Placko³

2014

PIER

View full text Add to dashboard Cite

Abstract-This paper deals with an innovative implementation of a semi-analytical modeling method, called the Distributed Points Source Method (DPSM), in the case of an eddy current problem. The DPSM has already shown great potentialities for the versatile and computationally efficient modeling of complex electrostatic, electromagnetic or ultrasonic problems. In this paper, we report a new implementation of the DPSM, called differential DPSM, which shows interesting prospects for the modeling of complex eddy current problems such as met in the non-destructive imaging of metallic parts. In this paper, the used eddy current imaging device is firstly presented. It is composed of an eddy current (EC) inducer and a magneto optical set-up used to translate the magnetic field distribution appearing at the surface of the imaged part, into a recordable optical image. In this study, the device is implemented for the time-harmonics (900 Hz) imaging of a two-layer aluminum based assembly, featuring surfacebreaking and buried defects. Then, the basics of the time-harmonics DPSM modeling are recalled, and the differential approach is presented. It is implemented for the modeling of the interactions of the eddy current imaging device with the considered flawed assembly in the same operating conditions as the experimental implementation. The comparison between experimental and computed data obtained for millimetric surface and buried defects is presented in the form of complex magnetic cartographies and Lissajous plots. The obtained results show good agreement and open the way to the modeling of complex EC problems. Furthermore, the low computational complexity of the differential DPSM modeling makes it promising for solving EC inverse problems.

show abstract

Fuzzy Characterization of Flawed Metallic Plates With Eddy Current Tests

Cited by 25 publications

References 10 publications

Simulation of an Electromagnetic Acoustic Transducer Array by Using Analytical Method and FDTD

Simulation of an Electromagnetic Acoustic Transducer Array by Using Analytical Method and FDTD

Estimation of the Ageing of Metallic Layers in Power Semiconductor Modules Using the Eddy Current Method and Artificial Neural Networks

A Differential DPSM Based Modeling Applied to Eddy Current Imaging Problems

Contact Info

Product

Resources

About