Unilever Research - Bangalore Laboratory, 64 Main Road, Whitefield, Bangalore 560066, India.
Water Res. 2010 Jun;44(11):3365-74. doi: 10.1016/j.watres.2010.03.025. Epub 2010 Mar 27.
This paper reports a study of size-heterogeneous colloid filtration in a new bed using different types of colloids under different conditions of flow and solution chemistry. Depth-wise variation of the particle-size-distributions f(i)(x), and the total liquid-phase colloid concentration, C(x) are measured which are used to estimate the depth-wise variation of the liquid-phase concentration for each distinct section of the heterogeneous population, C(i)(x). It is observed that log C(i)(x) is linear with depth, for some systems, while it shows deviation from linearity, with the slope decreasing with depth, for others. Deposition-rates for these distinct sections of the heterogeneous population, k(i), are estimated from the slopes of the log C(i)(x) data. These deposition-rates were then compared with predicted homogeneous-population deposition-rates from Colloid Filtration Theory (CFT), which shows agreement between the CFT-based-deposition-rates and heterogeneous-population-data based deposition-rates, for low flow velocities. At higher flow velocities a gap between the CFT-based and Data-based deposition-rates is observed. Deposition-rates from CFT are then used in a heterogeneous-colloid-filtration model, to examine if heterogeneous colloid deposition can be expressed as the sum of its parts. It is observed that, the sum-of-parts model provides a reasonable estimate of colloidal deposition from heterogeneous populations. Based on these results, it is possible to make predictions of colloidal deposition from complex heterogeneous suspensions. A new method for studying heterogeneous colloid filtration is also proposed.
本文报道了一种在新床中使用不同类型胶体在不同流动和溶液化学条件下进行大小异质胶体过滤的研究。测量了粒径分布 f(i)(x) 和总液相胶体浓度 C(x) 的深度变化,用于估计各异质群体不同部分的液相浓度 C(i)(x) 的深度变化。观察到对于某些系统,log C(i)(x) 与深度呈线性关系,而对于其他系统,log C(i)(x) 则偏离线性关系,斜率随深度减小。从 log C(i)(x) 数据的斜率估计这些异质群体不同部分的沉积速率 k(i)。然后将这些沉积速率与胶体过滤理论 (CFT) 预测的均匀群体沉积速率进行比较,结果表明在低流速下,基于 CFT 的沉积速率与基于异质群体数据的沉积速率之间存在一致性。在较高流速下,观察到基于 CFT 和基于数据的沉积速率之间存在差距。然后将 CFT 中的沉积速率用于异质胶体过滤模型,以检查异质胶体沉积是否可以表示为其各部分的总和。结果表明,部分和模型为从异质群体中胶体沉积提供了合理的估计。基于这些结果,可以对复杂异质悬浮液中的胶体沉积进行预测。还提出了一种研究异质胶体过滤的新方法。