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Electroacoustic and dielectric dispersion of concentrated colloidal suspensions

机译:浓缩胶体悬浮液的电声和电介质分散

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The determination of the permittivity of colloidal dispersions has demonstrated to be a very useful technique to characterize the electrical state of the solid/liquid interface. This is so because of its sensitivity to such features as particle size and shape, state of aggregation, surface charge, and so on. The dielectric dispersion data are particularly suited to the evaluation of the surface characteristics when the suspension contains a high solids concentration, as in such conditions the usual electrokinetic techniques linked to optical methods are not applicable. The same advantage is shared by electroacoustic techniques, where it is a collective response of the system that matters. In this case, the experimental quantity is the dynamic (or AC) electrophoretic mobility. In this work, both methods will be used for the investigation of the electrical surface characteristics of concentrated alumina suspensions with volume fractions of solids ranging between 1 and 20 percent The data will be analyzed in the frame of the so-called cell model, often used to analyze the hydrodynamic and electrical interactions between particles in concentrated suspensions. We will show that the model is capable of properly describing both their dielectric dispersion and dynamic mobility, and that the surface (zeta) electric potential calculated from electroacoustic data can be used as an input parameter to reproduce the permittivity. This will demonstrate the internal coherence and accuracy of the cell model and give clues to improve our understanding of the electrokinetic behavior of concentrated slurries.
机译:证明胶体分散体的介电常数的测定是表征固/液界面电态的非常有用的技术。之所以如此,是因为其对诸如粒度和形状,聚集状态,表面电荷等特征的敏感性。当悬浮液包含高固体浓度时,介电弥散数据特别适合于表面特性的评估,因为在这种条件下,与光学方法相关的常规电动技术不适用。电声技术具有相同的优势,其中重要的是系统的集体响应。在这种情况下,实验量是动态(或AC)电泳迁移率。在这项工作中,两种方法都将用于研究浓缩体积为1%至20%的固体氧化铝悬浮液的电表面特性。数据将在所谓的电池模型的框架中进行分析,通常使用分析浓缩悬浮液中颗粒之间的水动力和电相互作用。我们将显示该模型能够正确地描述其介电色散和动态迁移率,并且根据电声数据计算出的表面(ζ)电势可以用作再现介电常数的输入参数。这将证明细胞模型的内部连贯性和准确性,并提供一些线索以增进我们对浓缩浆液电动行为的理解。

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