Al2O3+13wt%TiO2 (AT13) particles were doped with 5%～30% nanoparticles and prefabricating powders were prepared by renewed granulation. AT13 coatings were prepared on the surface of steel 45# by air plasma spraying te...Al2O3+13wt%TiO2 (AT13) particles were doped with 5%～30% nanoparticles and prefabricating powders were prepared by renewed granulation. AT13 coatings were prepared on the surface of steel 45# by air plasma spraying technique with the prefabricating powders. The microstructures of the AT13 prefabricating powders and the resulting coatings were investigated by SEM and EDS and XRD. The samples were undergone corrosion in the medium of 10% H2SO4 aqueous solution at temperature 80℃. The results indicate that the blistering time of coatings in the corrosive medium was increased with the increase of doped nanoparticle concentration while the time from blistering to spalling is independent of nanoparticle concentration. The results revealed that the structure of prefabricating powders was a twisted micrometer grade particle with dimension of 40-60μm, encapsulated by nanoparticles. The homogeneity of element distribution in coatings was improved and porosity was reduced. The phases of (Al2O3) 5.333 and orthorhombic Al2TiO5 were identified . The fracture analysis confirmed that there is a large amount of vermiculate whiskers with diameter of 10nm and length of 100～200 nm in coatings and the fracture type of coatings was the ductile trans-granular fracture.展开更多
文摘Al2O3+13wt%TiO2 (AT13) particles were doped with 5%～30% nanoparticles and prefabricating powders were prepared by renewed granulation. AT13 coatings were prepared on the surface of steel 45# by air plasma spraying technique with the prefabricating powders. The microstructures of the AT13 prefabricating powders and the resulting coatings were investigated by SEM and EDS and XRD. The samples were undergone corrosion in the medium of 10% H2SO4 aqueous solution at temperature 80℃. The results indicate that the blistering time of coatings in the corrosive medium was increased with the increase of doped nanoparticle concentration while the time from blistering to spalling is independent of nanoparticle concentration. The results revealed that the structure of prefabricating powders was a twisted micrometer grade particle with dimension of 40-60μm, encapsulated by nanoparticles. The homogeneity of element distribution in coatings was improved and porosity was reduced. The phases of (Al2O3) 5.333 and orthorhombic Al2TiO5 were identified . The fracture analysis confirmed that there is a large amount of vermiculate whiskers with diameter of 10nm and length of 100～200 nm in coatings and the fracture type of coatings was the ductile trans-granular fracture.
文摘电刷镀制备Al2O3-13%TiO2(AT13)复合陶瓷涂层是1个多参数耦合的非线性过程。在分析工艺参数对涂层厚度影响的基础上,通过实验采集样本,建立预测涂层厚度的误差反向传播(back propagation,BP)人工神经网络模型。为验证人工神经网络预测模型的准确性,将该模型的预测结果与多元线性回归模型(multiple linear regression model,MLR)的预测结果进行对比。结果表明:与传统多元线性回归模型相比,人工神经网络模型能捕捉工艺参数的非线性规律,能更好地预测涂层厚度,拟合优度R2达到0.86,模型具有较强的泛化能力和自适应能力,为实现电刷镀制作过程中涂层厚度的实时预测与控制提供参考。
