Quantitative stereology of martensite microstructure by 3D visualization for improving material reliability

三维可视化显示，马氏体包呈锯齿状，有特定的习惯面，块状呈锯齿状。初步尝试使用亏格、欧拉特征、高斯曲率和平均曲率等参数对三维图像进行量化，这表明这些拓扑或微分几何参数似乎有助于表征金属的微观结构。

3D visualization demonstrates that martensite packet is zigzagged and has a specific habit plane, and block is zigzagged. All packets observed reach to a prior austenite boundary.Preliminarily, quantification of 3D image was attempted using a parameter such as genus, Euler characteristic, Gauss curvature and mean curvature, which suggested that those topological or differential geometrical parameters seems to be useful to characterize microstructures in metals.