PURSUIT OF IMPROVING THE EFFICIENCY OF AN ACCURATE SUBMICRON-CLASSIFICATION SYSTEM USING ALMOST RIGIDLY ROTATING FLOW FOR PRACTICAL APPLICATION

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Our final goal of the present study is to make our accurate wet-type submicron-classification system practicable. This system can accurately classify submicron feed-powder particles, different in size, suspended in a liquid medium by the difference in centrifugal force and fluid drag acting on each particle in almost rigidly rotating flow, due to the particle-size difference. The point of making this system practicable is to increase the throughput and classification product in our previous system developed until now. In the present study, in order to clarify the mechanism of deterioration in classification accuracy with increasing throughput and product and find the way keeping the high accuracy, we have conducted classification experiments and have numerically simulated the flow and particle motion.