Rapid Size Classification of Ultrafine Particles Using Surface Characteristics
Rapid Size Classification of Ultrafine Particles Using Surface Characteristics
复制标题
利用表面特性对超细颗粒进行快速尺寸分类
DOI：
10.4164/sptj.39.175
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发表时间：
2002
影响因子：
--
通讯作者：
H. Sasaki
中科院分区：
文献类型：
--
作者：
Kazuya Wakabayashi;S. Sekita;H. Hayashi;H. Sasaki
超细颗粒的粒度分类是材料加工中最困难的技术之一。我们开发了一种基于界面特性的超细颗粒分离新技术。在本研究中，采用纤维镍铁渣（FS）填充柱床系统，研究了悬浮液中二氧化硅颗粒（100-300nm）的快速粒径分级。较小的颗粒选择性地附着在FS上，而较大的颗粒作为流出物通过柱床。分级效率取决于pH值和离子强度。ph为3.5、KNO3为10mmol/dm3时，分类效果最佳。这些结果可以用DLVO理论解释，表明颗粒和收集器介质的表面特性实际上决定了分离效率。此外，颗粒浓度和流速对分级效率也有影响。该方法简便、快速、经济，可用于水介质中超细颗粒的分类。
Size classification of ultrafine particles is one of the most difficult techniques in materials processing. We developed a novel ultrafine particle separation technique based on interfacial properties. In this work, rapid size classification of silica particles (100-300nm) from suspension was examined in various solution chemistry by column bed system packed with fibrous ferro-nickel slag (FS). Smaller particles were selectively attached to the FS, while larger ones had passed through the column bed as an effluent. Classification efficiency depended on pH and ionic strength. Optimum classification was attained at pH3.5 and 10mmol/dm3 KNO3. These results were explained by DLVO theory, suggesting that surface characteristics of both particle and collector medium virtually determined the separation efficiency. Furthermore, particle concentration and flow velocity had influence on classification efficiency. This method proved to be simple, rapid, and cost-effective for classifying ultrafine particles in aqueous media.