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Three-Dimensional Digital Reconstruction of Ti2AlC Ceramic Foams Produced by the Gelcast Method

机译:凝胶法制备的Ti2AlC陶瓷泡沫的三维三维重构

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摘要

A digital reconstruction technique is presented that generates three-dimensional (3D) digital representations of ceramic foams created by the foam-gelcasting technique. The reconstruction process uses information that is directly extracted from Scanning Electron Microscopy (SEM) images and offers a 3D representation of the physical sample accounting for the typically large pore cavities and interconnecting windows that are formed during the preparation process. Contrary to typical tessellation-based foam treatments, a spherical representation of the pores and the pore windows of the foams is assumed and a novel hybrid algorithm that combines a variation of Lubachevsky-type and Random Close Packing of Hard Spheres (RCPHS) algorithms has been developed to obtain near-optimum solutions to the packing problem of the spheres that represent the pores. Numerical simulations are performed directly on the 3D reconstructed foams to determine their gas permeability. The model predictions are compared with experimental gas permeability data that were obtained for the physical samples. The pore wall thickness can be treated as the single fitting parameter in the entire reconstruction process, although it is shown that images of sufficient resolution could eliminate the need even for that. The foams that are produced by this method yield quantitatively similar pressure drops with experiments for various superficial velocity values, with a very small deviation in the range of 1.7–2.8%. The proposed methodology could be utilized for the prediction of the permeability and transport properties of complex foamy porous structures, similar to the gelcast-type of foams, from a single SEM image of the foam sample without resorting to serial tomography or other structural information, thus saving considerable time and effort from experimental work.
机译:提出了一种数字重建技术,该技术可生成通过泡沫凝胶铸造技术创建的陶瓷泡沫的三维(3D)数字表示。重建过程使用直接从扫描电子显微镜(SEM)图像中提取的信息,并提供物理样品的3D表示,这说明了制备过程中通常形成的大孔腔和相互连接的窗口。与典型的基于镶嵌的泡沫处理相反,假设泡沫的孔隙和孔隙窗口是球形的,并且已经提出了一种新颖的混合算法,该算法结合了Lubachevsky型变量和硬球随机紧密堆积(RCPHS)算法为了获得代表孔的球体堆积问题的最佳解决方案,我们开发了这种方法。直接对3D重构泡沫进行数值模拟,以确定其透气性。将模型预测与从物理样品获得的实验气体渗透率数据进行比较。孔壁厚度可以在整个重建过程中视为单个拟合参数,尽管已显示具有足够分辨率的图像甚至可以消除此需求。在各种表观速度值的实验中,用这种方法生产的泡沫在数量上都产生了相似的压降,在1.7-2.8%的范围内有很小的偏差。所提出的方法可用于从泡沫样品的单个SEM图像中预测类似于凝胶浇铸型泡沫的复杂泡沫多孔结构的渗透性和传输特性,因此无需借助连续层析成像或其他结构信息,因此节省实验工作的大量时间和精力。

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