Li Xianhang, Duan Li, Zhou Shihao, Liu Xuhao, Yao Zhaoyue, Yan Zilin
School of Science, Harbin Institute of Technology, Shenzhen 518055, China.
Education Center for Experiment and Innovations, Harbin Institute of Technology, Shenzhen 518055, China.
Materials (Basel). 2024 May 18;17(10):2432. doi: 10.3390/ma17102432.
In this study, alumina ceramics with hierarchical pores were successfully fabricated using freeze casting. Experimental studies show that both the solid loading of the slurry and the thermal insulation layer at the interface of the slurry and cooling plate can influence the pore characteristics of cast samples. In order to examine the pore characteristics and evaluate the permeability of the freeze-cast samples fabricated under different conditions, a generative adversarial network (GAN) method was employed to reconstruct the three-dimensional (3D) microstructure from two-dimensional (2D) scanning electron microscopy (SEM) images of the samples. Furthermore, GAN 3D reconstruction was validated against X-ray tomography 3D reconstruction results. Based on the GAN reconstructed microstructures, the permeability and pore distribution of the various samples were analyzed. The sample cast with 35 wt.% solid loading shows an optimal permeability.
在本研究中，采用冷冻铸造法成功制备了具有分级孔隙的氧化铝陶瓷。实验研究表明，浆料的固相含量以及浆料与冷却板界面处的隔热层都会影响铸造样品的孔隙特性。为了研究不同条件下制备的冷冻铸造样品的孔隙特性并评估其渗透率，采用生成对抗网络（GAN）方法从样品的二维（2D）扫描电子显微镜（SEM）图像重建三维（3D）微观结构。此外，将GAN三维重建结果与X射线断层扫描三维重建结果进行了验证。基于GAN重建的微观结构，分析了各种样品的渗透率和孔隙分布。固相含量为35 wt.%时铸造的样品表现出最佳渗透率。
