REGRESSION MODEL OF THE CLASSIFICATION PROCESS AT JET GRINDING
DOI:
https://doi.org/10.34185/1562-9945-6-125-2019-11Keywords:
classifier, regression model, factor, jet grindingAbstract
The aim of the work is creating a regression model of the material classifying process in a jet grinding plant based on the experimental results. The data of various bulk material grinding in a laboratory mill and in industrial conditions were used. The main technological parameters affecting the performance of the classifier are determined. On gas-jet installations a number of dependences of changes in the volumetric flow rate of the material at the outlet of the classifier from the volumetric flow rate of the material at the inlet of the classifier and from the speed of the classifier rotor were experimentally got. The magnitude of the influence of each adopted factor and their mutual influence on the performance of the classifier with the determination coefficient R = 0.88 – 0.95 are obtained. The regression dependences make it possible to improve the control system for the classification process of jet grinding in a closed cycle.
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