It is important for researchers in material domain to reconstruct and visualize the microstructure of alloy, which helps discover morphologies and properties that can only be found in three dimensional and microscopic space.
However, because of the limitation of state-of-the-art sensors, the internal microstructure of the material is not easy to obtain.
In this paper, a novel automatic 3D reconstruction method is proposed using diffraction contrast tomography technology to capture the 3D microstructure of Al-La alloy.
The pipeline of the proposed method starts from the imaging of Al-La alloy with the LabDCT technique from Carl Zeiss AG, which produces a sequence of 2D microstructure sections.
Then, a segmentation algorithm based on superpixel and lifted multicut is proposed to extract the 2D microstructure in an image section.
Finally, 2D segmentations are joined together to reconstruct and visulize the 3D microstructure.
As a result, a novel morphology of Al-La alloy is recovered with both dendrite and lamellar morphologies.
The proposed method has the advantage of the ability to losslessly recover the internal microstructure.
3D microstructure reconstruction of casting aluminum alloy based on serial block-face scanning electron microscopy
