Abstract
This study introduces a novel classification system on the basis of particle surface properties. We focused our attention on the zeta potential of silica particles dispersed by beads milling. As a result, it was found that the zeta potential of the particles was enhanced as the particle size became smaller, therefore indicating size dependency. We succeeded in developing a classification apparatus using electrophoresis. This apparatus is able to classify sub-micron sized silica particles with continuous operation and a low running cost.In the case of a dry-cyclone, classification performance was improved by preparing an acetone solution in the dust box of the cyclone to make an acetone vapor in the cyclone. Under these conditions, the ratio of the mass of the powders collected by the upper part of the cyclone to the mass of the total feeding powder was enhanced. One of the reasons for this was the attractive force between the silica particles and the wall of the cyclone resulting from static electricity. Therefore, the cut size was controllable by changing the amount of acetone in the dust box of the dry-cyclone.
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