1. What are the main factors affecting the grading process?
There are many factors that influence the grading process. The nature of the ore is: the amount and shape of the ore in the material of the classifier: the factors in the machine construction are: the size of the inclination angle of the groove, the rotation speed of the screw shaft, the width of the groove, and the operation. The factors are: the concentration of the slurry, the uniformity of the ore and the ore, and the level of the overflow.
2. What happens when there is more mud or fine particles in the material of the classifier? How to adjust?
When the amount of sludge or fines in the graded material is more, the viscosity of the slurry is larger, so that the sedimentation speed of the ore particles in the slurry is smaller, and the granularity of the overflow product is coarser. In this case, in order to ensure that the particle size of the overflow product meets the requirements, the slurry concentration should be appropriately reduced. If the material contains little mud or is subjected to desliming treatment, in order to avoid excessive fine-grained grades in the return sand, the classification concentration should be appropriately increased.
3. What is the effect of different grades of graded materials and different grades of ore particles? How to adjust?
In the case where the concentration and other operating conditions are the same, if the specific gravity of the classified material is smaller, the viscosity of the slurry is larger, and at this time, the particle size in the overflow product becomes coarse, and the fine particle content in the returning sand increases. Therefore, when grading a large proportion of ore, the classification concentration should be appropriately increased; when the ore having a small specific gravity is classified, the classification concentration should be appropriately lowered.
When the ore particles are in a flat shape, the sedimentation speed is slower than that of the round or near-shaped ore, so that the classification concentration of the flat ore is lower, or the discharge speed of the overflow product is accelerated.
4. What is the impact of the number of spiral revolutions on the grading effect?
The number of revolutions of the helix should be sufficient to transport the settled coarse particles. The faster the speed of the screw shaft of the classifier, the stronger the stirring effect on the slurry, and the more coarse particles are entrained in the overflow product. In order to obtain a thicker overflow and to process materials that are faster than the major settlement, the number of revolutions of the spiral can be appropriately increased, but not too large, so as not to damage the classification effect. However, for the classifier used in the two-stage grinding or fine grinding cycle, the spiral speed should be slowed down as much as possible.
In summary, lower revolutions are generally used in spiral classifiers, especially for large spiral classifiers. For example, to obtain a coarse overflow, the spiral speed of a two-meter diameter must not exceed 6 rpm, and the diameter of a spiral of more than one meter should be controlled at 2-8 rpm.
5. What is the relationship between the width of the spiral classifier and the processing capacity? What is the relationship with the rating effect?
The width of the trough has a great relationship with the discharge speed of the overflow product. The width of the trough is high and the discharge speed is high, so the possibility that the coarse particles are discharged with the overflow is greater. On the other hand, the wider the trough, the larger the sedimentation area of ​​the ore and the easier it is to settle. Therefore, the effect of the width of the trough on the grading effect is not significant, but it is closely related to the processing capacity of the classifier. The width of the trough is large and the processing capacity is large. On the contrary, the processing power is small. Therefore, the width of the tank of the classifier should be compatible with the processing capacity of the mill.
6. What effect does the concentration of slurry have on the classification effect? Why can't the concentration be too small?
When the concentration of the slurry is small, the viscosity of the slurry is also reduced. Therefore, the sedimentation speed of the ore particles is also accelerated, and the obtained overflow product has a finer particle size. Conversely, the overflow product has a coarser particle size.
However, it should be pointed out that when the concentration of the slurry is reduced to a certain extent, if the concentration continues to decrease, the size of the overflow product will be coarsened. Mainly because when the concentration is much lower, the volume of the slurry (or the amount of slurry) is also large, so that the slurry flow rate (upward flow rate and horizontal flow rate) in the classifier is also increased. Therefore, coarser ore particles are also flushed into the overflow product. Therefore, the slurry concentration must be reasonably controlled as required.
7. What is the classification effect of adjusting the height of the weir?
When the weir is raised, the sedimentation area of ​​the ore particles can be increased. At the same time, due to the increase of the pulp surface, the agitation effect of the spiral on the pulp surface is also weakened, and the overflow particle size can be made finer.
Conversely, a reduced weir will result in a coarser overflow particle size.
8. Why do you want to make the ore into the classifier appropriate?
When the concentration of the slurry is constant, if the amount of minerals fed into the classifier increases, the flow rate of the slurry also increases, thereby making the size of the overflow product coarse. When the amount of minerals is reduced, the size of the overflow product becomes finer, and the content of fine particles in the returning sand also increases.
Therefore, the ore supply of the classifier should be appropriate. In particular, the uniformity of the ore should not be neglected, and the smaller the fluctuation range, the better the classification machine can work under normal processing conditions in order to obtain a good classification effect.
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