Agglomerates Structure Characterization Using 3D‐Image Reconstruction
Agglomerates Structure Characterization Using 3D‐Image Reconstruction
复制标题
使用 3D 图像重建进行团聚结构表征
DOI：
10.1002/ppsc.200700028
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
E. Castillo
中科院分区：
文献类型：
--
作者：
C. Turchiuli;E. Castillo
附聚粉末的即时特性与附聚物的尺寸和结构有关。在这项研究中，通过测量团聚体的孔隙率来研究团聚体的结构。开发了一种根据轮廓 3D 重建颗粒形状的图像分析方法，用于测量脱水牛奶团块 (1-2 mm) 的包络体积。已知粉末的真实密度，可以估计团聚体的内部孔隙率。研究发现，颗粒内孔隙率随着团聚体直径的增加而增加，表明分形结构的分形维数为 2.64。这使得我们能够了解大团聚体在水中快速沉降和溶解的不同行为，而小团聚体则缓慢沉降和溶解，并且必须在良好的速溶粉末中避免。
Instant properties of agglomerated powders are linked to the size and structure of agglomerates. In this study, agglomerates structure was investigated through the measurement of their porosity. An image analysis method for 3D re‐construction of particle shape from silhouette was developed to measure the envelope volume of dehydrated milk agglomerates (1–2 mm). With known true density of the powder, the intra‐particular porosity of agglomerates could be estimated. It was found that intra‐particular porosity increases with agglomerates diameter indicating a fractal structure with a fractal dimension of 2.64. This allowed understanding the different behavior of large agglomerates settling and dissolving rapidly in water whilst small ones settle and dissolve slowly and must be avoided in a good instant powder.
DOI：
10.1109/34.888718
发表时间：
2000-11-01
影响因子：
23.6
作者：
Zhang, ZY
通讯作者：
Zhang, ZY