Abstract
In the present paper, experiments are carried out using VSK separator which is an advanced air classifier to recover heavy minerals from beach sand. In classification experiments the cage wheel speed and the feed rate are set and the material is fed to the air cyclone and split into fine and coarse particles which are collected in separate bags. The size distribution of each fraction was measured by sieve analysis. A model is developed to predict the performance of the air classifier. The objective of the present model is to predict the grade efficiency curve for a given set of operating parameters such as cage wheel speed and feed rate. The overall experimental data with all variables studied in this investigation is fitted to several models. It is found that the present model is fitting good to the logistic model.
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Authors are thankful to Chairman of C. V. Raman group of Institutions, Bhubaneswar, Orissa, India for providing support to carry out the research work.
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Routray, S., Bhima Rao, R. Classification Studies in an Advanced Air Classifier. J. Inst. Eng. India Ser. D 97, 129–134 (2016). https://doi.org/10.1007/s40033-015-0105-5
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DOI: https://doi.org/10.1007/s40033-015-0105-5