2016
DOI: 10.3390/met6110272
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Crack Detection Method Applied to 3D Computed Tomography Images of Baked Carbon Anodes

Abstract: Carbon anodes used in the aluminium industry were imaged through destructive and non-destructive testing (NDT) methods. For the latter case, computed tomography (CT), which has previously been used to map the 3D apparent density distribution, was extended to crack detection. Previous work has shown how to overcome technical hurdles related to crack detection by using percolation-based algorithms operating on low-resolution images of full-scale baked carbon anodes. The previous application to 2D images was exte… Show more

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Cited by 4 publications
(2 citation statements)
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“…Another method that takes advantage of the narrow shape characteristics of cracks is a Hessian-based approach [ 35 , 36 ], which identifies regions that exhibit sharp changes in image intensity. Percolation methods have also shown significant promise in detecting cracks across a range of materials [ 37 ]. These methods leverage the fact that most cracks are continuous, narrow objects with relatively consistent (low) density.…”
Section: Introductionmentioning
confidence: 99%
“…Another method that takes advantage of the narrow shape characteristics of cracks is a Hessian-based approach [ 35 , 36 ], which identifies regions that exhibit sharp changes in image intensity. Percolation methods have also shown significant promise in detecting cracks across a range of materials [ 37 ]. These methods leverage the fact that most cracks are continuous, narrow objects with relatively consistent (low) density.…”
Section: Introductionmentioning
confidence: 99%
“…Picard et al [7] investigated the possibility of application of X-ray computed tomography, as a non-destructive testing method, for detecting cracks in baked anodes. Cracks may be initiated during the anode-forming step, due to the release of induced stresses, or during the baking step, due to the pitch devolatilisation and gas generation [8].…”
mentioning
confidence: 99%