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Model Based Capability Assessment of an Automated Eddy Current Inspection Procedure on Flat Surfaces

Anders Rosell (Institutionen för material- och tillverkningsteknik, Avancerad oförstörande provning) ; Gert Persson (Institutionen för material- och tillverkningsteknik, Avancerad oförstörande provning)
Research in nondestructive evaluation (0934-9847). Vol. 24 (2013), 3, p. 154-176.
[Artikel, refereegranskad vetenskaplig]

The probability of detection (POD) of a well-controlled, automated eddy current (EC) procedure is evaluated in a numerical model and compared with experiments. The procedure is applied in laboratory environment with a single absolute probe which is positioned for raster scan over flat surfaces containing fatigue cracks. The variability of the signal amplitude, due to small fatigue cracks in the Titanium alloy Ti-6Al-4 V, is expected to mainly originate from crack characteristics and the index distance of the raster scan. The POD model is based on the signal versus crack size ( versus a) result. The presented procedure provides a well-defined basis for a comparison between a simulated and an experimentally based POD assessment. Finite element analysis is used to model the EC method. A simplified fatigue crack model is first introduced and evaluated experimentally. Numerical computations are then used to build the corresponding model-based POD curve which shows good agreement with the experimental result. The model-based POD curve is generated both by means of a parametric and a nonparametric approach. Differences between model-based and experimental POD are discussed as well as the delta POD approach using transfer functions.

Nyckelord: eddy current, probability of detection (POD), model-based POD

Denna post skapades 2013-08-15. Senast ändrad 2014-10-30.
CPL Pubid: 181434


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Institutioner (Chalmers)

Institutionen för material- och tillverkningsteknik, Avancerad oförstörande provning (2005-2017)


Övrig teknisk materialvetenskap

Chalmers infrastruktur

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Denna publikation ingår i:

On model assisted probability of detection in eddy current evaluation