Particle size characterization of heterogeneous mixtures is a challenging task, as it is not feasible to assign the measured signals to the individual components. Within this framework, the study proposes a method that applies the working principle of differential centrifugal sedimentation (DCS) in order to simultaneously separate and measure the denser component within a binary material mixture of submicron particles. The method was validated using a model system consisting of polyvinyl chloride (PVC) and diamond particles in a size range of 0.5 – 1.5 µm. The results proved that by applying a proper density gradient fluid, the diamond particles can be selectively analyzed by hindering the sedimentation of the lighter PVC component. Furthermore, a very promising application could be found with respect to wet fine grinding processes in stirred media mills. In fact, the approach was utilized to individually determine the particle size distribution of the grinding media wear within an ultrafine organic product. Despite the low quantity of wear particles, it was possible to separate them from the organic product under appropriate density conditions. The size distributions of both the wear and the product particles were validated with SEM images, confirming the feasibility of the method.

异质混合物的粒度表征是一项具有挑战性的任务，因为将测量信号分配给单个组分是不可行的。在此框架内，该研究提出了一种方法，该方法应用差速离心沉降 (DCS) 的工作原理，以便同时分离和测量亚微米颗粒二元材料混合物中的致密成分。该方法使用由聚氯乙烯 (PVC) 和尺寸范围为 0.5 – 1.5 µm 的金刚石颗粒组成的模型系统进行了验证。结果证明，通过应用适当的密度梯度流体，可以通过阻碍较轻的PVC组分的沉降来选择性地分析金刚石颗粒。此外，在搅拌介质磨机中的湿法细磨工艺方面可以找到非常有前景的应用。事实上，该方法用于单独确定超细有机产品中研磨介质磨损的粒度分布。尽管磨损颗粒的数量很少，但可以在适当的密度条件下将它们与有机产品分离。磨损和产品颗粒的尺寸分布通过 SEM 图像进行验证，证实了该方法的可行性。