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针对材料损伤过程中内部裂纹缺陷的表征,采用工业CT(Computed Tomography)对含有内部裂纹的试样进行扫描,获得了裂纹三维方向灰度切片图像,借助MATLAB+Image J软件对裂纹阈值、面积分布和扩展路径等特征进行了定量表征分析和拟合。结果表明裂纹面积分布呈对称趋势,采用四项式可较好拟合裂纹面积特征分布规律,采用累加法计算裂纹体积为76.83 m~m3,与积分法计算相对误差为0.48%;相邻切片裂纹面积差值绝对值小于5的占59.26%,此区间裂纹区变化较为均匀;主视图裂纹体沿两侧扩展路径呈现不一致趋势,分别采用Gauss函数和Logistic函数对两侧路径A、B进行拟合,拟合度因子R2分别为0.9928和0.9968,拟合精度较高;同时,主视图裂纹体两侧路径差值的3个峰值,将差值散点图分为3个阶段,其中阶段二差值呈线性增长。
Aiming at the characterization of the internal crack defects during the material damage, CT (Computed Tomography) was used to scan the sample containing the internal cracks, and the grayscale three-dimensional grayscale images of the cracks were obtained. With the help of MATLAB + Image J software, the crack thresholds, And extended path features such as quantitative characterization analysis and fitting. The results show that the distribution of crack area shows a symmetrical trend. The quadratic formula can be used to better fit the characteristic distribution of crack area. The cumulative crack volume is 76.83 m ~ m3 and the relative error calculated by integral method is 0.48% The area difference is less than 5, accounting for 59.26% of the total area, and the crack area in this area is more uniform. The divergence paths along the two sides of the main view show an inconsistent trend. Gauss function and Logistic function are used to fit the two paths A and B , The fitting degree factor R2 is 0.9928 and 0.9968, respectively, and the fitting accuracy is high. At the same time, the three peaks of the path difference on both sides of the crack body in the main view are divided into three stages, The value increased linearly.