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Metals 2016, 6(11), 272; doi:10.3390/met6110272

Crack Detection Method Applied to 3D Computed Tomography Images of Baked Carbon Anodes

1
Département de Génie Civil, Aluminium Research Centre—REGAL, Université Laval, Québec, QC G1V 0A6, Canada
2
Département de Génie Chimique, Aluminium Research Centre—REGAL, Université Laval, Québec, QC G1V 0A6, Canada
3
Département de Génie des Mines, de la Métallurgie et des Matériaux, Aluminium Research Centre—REGAL, Université Laval, Québec, QC G1V 0A6, Canada
4
Alcoa Primary Metals, Alcoa Technical Center, Alcoa Center, PA 15069-0001, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Hugo F. Lopez
Received: 13 September 2016 / Revised: 28 October 2016 / Accepted: 3 November 2016 / Published: 9 November 2016
View Full-Text   |   Download PDF [5898 KB, uploaded 9 November 2016]   |  

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 extended here to the 3D case. The crack detection algorithm has been performed on anode slices containing several independent macro cracks with different morphologies. View Full-Text
Keywords: carbon anodes; computed tomography; crack detection; percolation algorithm carbon anodes; computed tomography; crack detection; percolation algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Picard, D.; Lauzon-Gauthier, J.; Duchesne, C.; Alamdari, H.; Fafard, M.; Ziegler, D.P. Crack Detection Method Applied to 3D Computed Tomography Images of Baked Carbon Anodes. Metals 2016, 6, 272.

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