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Research on the Crushing Rate of Ball Mill
The crushing rate of ball mill is not only related to the ore grinding condition, but to the property of the ores. When enlarged the crushing rate, the existing research mainly takes into consideration the average ball diameter and the distribution of the ball diameter, the diameter inside the grinding machine, adding ball ratio, filling voidage and the rotary rate of the grinding machine. However, the main purpose of the consideration lies in the enlarging design of the machine, but the problem is that the scholars are unable to know the ball proportion situation inside the equipment, nor the above-mentioned factors could reflect the influences of the material flow and the amount of the water added.
For this reason, the experts of powder grinding equipment of Hongxing Machinery identify the function of the crushing rate in the practical production data. They established a model with the granularity distribution, operational conditions and the chemical composition of the rocks, and they think that the original model using several parameters to reflect all the changes in the grinding process is not appropriate and the crushing rate cannot be measured directly. As a result, they established a relationship model of the crushing rate function and the production condition in order to realize the soft measurement of the crushing rate function and strengthening the practical applicability of the model.
There is one sample and relating analysis discrepancy in the ore grinding and classification process data which brings difficulty to the production decision making and the process optimization and control. And what is more, since there is no granularity balance relationship in the ore grinding process itself, the coordination process of the granularity can only be excluded, for this reason, experts of Hongxing Machinery also researched the data coordination question of the grinding and classification process after introducing the grinding process model on the basis of the overall balance of the model granularity.
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