Correlations between pore structure parameters and gas permeability of corundum porous materials
Correlations between pore structure parameters and gas permeability of corundum porous materials
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刚玉多孔材料孔结构参数与透气率的相关性
DOI：
10.1111/jace.16861
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发表时间：
2020-03
影响因子：
3.9
通讯作者：
Yan Ma
中科院分区：
文献类型：
--
作者：
Xin Xiong;Zhoufu Wang;Xitang Wang;Hao Liu;Yan Ma
以纯铝酸钙水泥为钙源，制备了原位成形的六铝酸钙含量不同的刚玉多孔材料。基于汞侵入实验数据，计算了多孔材料的表面分形维数。基于灰色系统理论，研究了孔隙结构参数与多孔材料渗透系数sk1和k2之间的关系。结果表明，刚玉多孔材料的孔隙具有明显的分形特征。表面分形维数是反映孔隙形状、孔隙表面和孔径分布复杂性的重要孔隙结构参数，与此类多孔材料的渗透率相关系数最大。表观孔隙度和孔径分布与渗透率也有较高的相关系数。增大较大孔隙的表观孔隙率和体积百分比，减小较小孔隙的体积百分比，均有利于多孔材料的渗透性。此外，平均孔径和中位数孔径与渗透率的相关系数较低，特别是对于孔径分布较宽的多孔材料。
Corundum porous materials with different contents of calcium hexaluminate formed in situ were prepared using pure calcium aluminate cement as the calcium source. The surface fractal dimensions of the porous materials were calculated based on the experimental data of mercury intrusion. Correlations between pore structural parameters and the permeability coefficientsk1andk2of the porous materials were then studied based on the grey system theory. The results showed that pores in the corundum porous materials have great fractal characteristics. The surface fractal dimension was a significant pore structural parameter that reflected the complexity of pore shape, pore surface, and pore‐size distribution, which had the maximum correlation coefficient with the permeability of this type of porous materials. The apparent porosity and pore‐size distribution had relatively high correlation coefficients to the permeability as well. Increasing the apparent porosity and the volume percentage of larger pores, and decreasing the volume percentage of smaller pores all benefited the permeability of the porous materials. In addition, the mean pore size and median pore size showed lower correlation coefficients to the permeability—especially for porous materials with a wide pore‐size distribution.
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影响因子：
8.4
作者：
Joseph W. K. Chan;T. L. Tong
通讯作者：
Joseph W. K. Chan;T. L. Tong
影响因子：
2.7
作者：
Anlun Wang
通讯作者：
Anlun Wang
影响因子：
7.4
作者：
Jinze Xu;Keliu Wu;Ran Li;Zhandong Li;Jing Li;Qilu Xu;Zhangxin Chen
通讯作者：
Jinze Xu;Keliu Wu;Ran Li;Zhandong Li;Jing Li;Qilu Xu;Zhangxin Chen
影响因子：
8.4
作者：
Gilissen, R;Erauw, JP;Luyten, J
通讯作者：
Luyten, J
DOI：
10.1016/s0017-9310(02)00014-5
发表时间：
2002-07-01
影响因子：
5.2
作者：
Yu, BM;Cheng, P
通讯作者：
Cheng, P