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

机译:裂纹检测方法在碳阳极3D计算机断层扫描图像中的应用

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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.
机译:通过破坏性和非破坏性测试(NDT)方法对铝工业中使用的碳阳极成像。对于后一种情况,以前用于绘制3D表观密度分布的计算机断层扫描(CT)已扩展到裂缝检测。先前的工作已经展示了如何通过使用基于渗滤的算法对全尺寸烘焙碳阳极的低分辨率图像进行操作来克服与裂纹检测相关的技术障碍。 2D图像的先前应用程序在这里扩展到了3D情况。裂纹检测算法已在阳极切片上执行,其中包含多个具有不同形态的独立宏观裂纹。

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