Lemesle Julie, Robache Frederic, Le Goic Gaetan, Mansouri Alamin, Brown Christopher A, Bigerelle Maxence
CNRS UMR 8201-LAMIH-Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines, Université Polytechnique Hauts-de-France, F-59313 Valenciennes, France.
EA 7535-ImViA-Laboratoire Imagerie et Vision Artificielle, Université de Bourgogne, 21078 Dijon CEDEX, France.
Materials (Basel). 2020 Feb 25;13(5):1024. doi: 10.3390/ma13051024.
Surface gradient characterization by light reflectance (SGCLR) is used for the first time for multiscale curvature calculations and discrimination of worn surfaces on six damaged ceramic-metal composites. Measurements are made using reflectance transformation imaging (RTI). Slope and curvature maps, generated from RTI, are analyzed instead of heights. From multiscale decompositions, bootstrapping, and analysis of variance (ANOVA), a strong correlation ( = 0.90) is found between the density of furrows of Mehlum curvatures, with a band pass filter at 5.4 µm, present in ceramic grains and their mechanical properties. A strong correlation is found between the mean curvatures of the metal and the ceramics, with a high pass filter at 1286 µm.
首次使用光反射表面梯度表征（SGCLR）对六种受损陶瓷-金属复合材料的磨损表面进行多尺度曲率计算和判别。测量使用反射变换成像（RTI）进行。分析由RTI生成的斜率和曲率图，而非高度。通过多尺度分解、自举法和方差分析（ANOVA），发现在陶瓷颗粒中存在的5.4 µm带通滤波器的Mehlum曲率的沟槽密度与其力学性能之间存在强相关性（= 0.90）。在1286 µm高通滤波器的情况下，发现金属和陶瓷的平均曲率之间存在强相关性。
