Crack Detection Method Applied to 3D Computed Tomography Images of Baked Carbon Anodes
AbstractCarbon 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
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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.
Picard D, Lauzon-Gauthier J, Duchesne C, Alamdari H, Fafard M, Ziegler DP. Crack Detection Method Applied to 3D Computed Tomography Images of Baked Carbon Anodes. Metals. 2016; 6(11):272.Chicago/Turabian Style
Picard, Donald; Lauzon-Gauthier, Julien; Duchesne, Carl; Alamdari, Houshang; Fafard, Mario; Ziegler, Donald P. 2016. "Crack Detection Method Applied to 3D Computed Tomography Images of Baked Carbon Anodes." Metals 6, no. 11: 272.
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