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Analysis of Pore Network in Three-dimensional (3D) Grain Bulks Using X-ray CT Images

机译：使用X射线CT图像分析三维（3D）颗粒中的孔网络

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The knowledge of distribution of pore space inside grain bulks is essential for determining the airflow resistance of grains. In this study, the internal pore structure and the 3D-distribution of air paths inside grain bulks were studied using X-ray computed tomography images. Image analysis methods were applied to the binary 3D X-ray CT images on the spatial distribution of voids to generate the connected, individualized pore objects of different size and shapes. Morphometric parameters, such as 3D air path volume distribution, structure separation factor, Euler number, fragmentation index, and structure model index were calculated based on hexahedral marching cubes volume model and marching cubes 3D surface construction algorithm. The quantified numerical measures of spatial integrity of air path networks were analyzed and compared with the airflow resistance of grain bulks. The results showed that the connectivity of airspace and the nonuniform distribution of air-path network inside grain bulks were responsible for the difference in airflow resistance between horizontal and vertical directions to the airflow of grain bulks.
机译：谷物内部孔隙空间分布的知识对于确定谷物的气流阻力至关重要。在这项研究中，使用X射线计算机断层扫描图像研究了谷物内部的孔结构和空气通道的3D分布。将图像分析方法应用于空隙空间分布上的二元3D X射线CT图像，以生成连通的，个性化的不同大小和形状的孔对象。基于六面体行进体体积模型和行进体3D表面构造算法，计算了3D气路体积分布，结构分离因子，欧拉数，破碎指数和结构模型指数等形态参数。分析了空气通路网络空间完整性的量化数值方法，并将其与谷物散料的气流阻力进行了比较。结果表明，谷物空间内部的空域连通性和气路网络的不均匀分布是造成谷物空间水平和垂直方向气流阻力差异的原因。

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