Inspection of Cracks in Aluminum Multilayer Structures Using Planar ECT Probe and Inversion Problem

This paper proposes a method to detect and evaluate surface and subsurface cracks in aluminum multilayer structures using a planar eddy current testing (ECT) probe and processing an inverse problem algorithm. The proposed excitation method using this ECT probe allows the induction of eddy currents with different orientations on the metal surface without rotating the probe during the scan. An inversion algorithm was applied to evaluate the geometry of the cracks. The main result of this inversion algorithm is the determination of the shape of the cracks using the reconstructed eddy current pattern inside the specimen. These reconstructed patterns give the indication of the length, orientation, and geometry profile of the crack. In this paper, complex geometry cracks at different depths are inspected. Experimental data were obtained around a star crack at different depths in a stack of four aluminum plates where each plate has a thickness equal to 1 mm. The presented work shows that the distance between the sensor and the layer under analysis must be adjusted in the inversion process in order to obtain the best reconstructed images when subsurface cracks are under study. This consideration affects the quality of the resulting images.

[1]  Yunze He,et al.  Pulsed eddy current technique for defect detection in aircraft riveted structures , 2010 .

[2]  Carl H. Smith,et al.  Magnetoresistive sensors for nondestructive evaluation (Invited Paper) , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[3]  O. Postolache,et al.  Image analysis for crack detection , 2010, 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.

[4]  Luigi Ferrigno,et al.  Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression , 2008, IEEE Transactions on Instrumentation and Measurement.

[5]  Satish S. Udpa,et al.  Rotating Field EC-GMR Sensor for Crack Detection at Fastener Site in Layered Structures , 2015, IEEE Sensors Journal.

[6]  Zhiwei Zeng,et al.  Pulsed Eddy-Current Based Giant Magnetoresistive System for the Inspection of Aircraft Structures , 2010, IEEE Transactions on Magnetics.

[7]  Francisco Caleyo,et al.  Rapid estimation of artificial near-side crack dimensions in aluminium using a GMR-based eddy current sensor , 2012 .

[8]  Jingang Yi,et al.  Mechatronic Systems Design for an Autonomous Robotic System for High-Efficiency Bridge Deck Inspection and Evaluation , 2013, IEEE/ASME Transactions on Mechatronics.

[9]  Helena Geirinhas Ramos,et al.  Determination of linear defect depths from eddy currents disturbances , 2014 .

[10]  Artur Lopes Ribeiro,et al.  Velocity induced eddy currents technique to inspect cracks in moving conducting media , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[11]  João M.A. Rebello,et al.  Development of a magnetic sensor for detection and sizing of internal pipeline corrosion defects , 2009 .

[12]  Luis S. Rosado,et al.  Defect Characterization With Eddy Current Testing Using Nonlinear-Regression Feature Extraction and Artificial Neural Networks , 2013, IEEE Transactions on Instrumentation and Measurement.

[13]  Helena Geirinhas Ramos,et al.  ECT characterization of a linear defect from multiple angle measurements , 2013 .

[14]  Zhou Xi,et al.  Pulsed eddy current imaging device for non destructive evaluation applications , 2013, 2013 IEEE SENSORS.

[15]  G. Betta,et al.  Multi-frequency ECT method for defect depth estimation , 2012, 2012 IEEE Sensors Applications Symposium Proceedings.

[16]  Zhiwei Zeng,et al.  EC-GMR Data Analysis for Inspection of Multilayer Airframe Structures , 2011, IEEE Transactions on Magnetics.

[17]  Roderick K. Stanley,et al.  Nondestructive Evaluation: A Tool in Design, Manufacturing and Service , 2018 .

[18]  Helena Geirinhas Ramos,et al.  Evaluation of portable ECT instruments with positioning capability , 2012 .

[19]  Wei Jia,et al.  Rail defect inspection using alternating current excitation coils with digital demodulation algorithm , 2011, 2011 IEEE International Instrumentation and Measurement Technology Conference.

[20]  Luigi Ferrigno,et al.  Multifrequency Excitation and Support Vector Machine Regressor for ECT Defect Characterization , 2014, IEEE Transactions on Instrumentation and Measurement.

[21]  Luigi Ferrigno,et al.  Improving Performance of GMR Sensors , 2013, IEEE Sensors Journal.

[22]  Artur Lopes Ribeiro,et al.  ECT image analysis applying an inverse problem algorithm with Tikhonov/TV Regularization , 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[23]  Artur L. Ribeiro,et al.  2D geometry characterization of cracks from ECT image analysis using planar coils and GMR-sensors , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[24]  Tiago Jorge Rocha,et al.  2D surface defect images applying Tikhonov regularized inversion and ECT , 2016 .

[25]  I. J. Day On the inversion of diffusion NMR data: Tikhonov regularization and optimal choice of the regularization parameter. , 2011, Journal of magnetic resonance.