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Influence of Hydrocyclone Structure on Classifying Effect

xinhai 2018-11-07(16:18:47) 3075 8

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As a common classifier, the main body of the hydrocyclone consists of an overflow pipe, a cylinder, a cone, and a sedimentation nozzle. The structure is very simple, but the simple structure means that the control of the detail parameters is more severe. So how does its structural change affect the classifying efficiency?

hydrocyclone system.jpg

Let's look at the structural parameters that may have an impact firstly. We can set the diameter of the cyclone to D, the diameter of the feed port to df, the diameter of the overflow pipe to dov, the diameter of the sedimentation port to ds, the depth of the overflow pipe to hov, the height of the cylinder to H, and the cone angle to be α. . The formula for the volumetric treatment quantity Q of the cyclone is:

Q=K·D·dov·√P, m3/h

Thereinto K is the coefficient, which rises with the increase of the value of df/D; and the units of D and dov and df are m, and P is the feed pressure, and the unit is kPa.

It can be seen from the above equation that the processing capacity is proportional to the diameter of the hydrocyclone while the other parameters are constant, and the diameter of the overflow pipe is also proportional to the diameter of the cyclone, so Q is proportional to D2. That is to say, the diameter of the hydrocyclone is increased to 2 times, and the processing capacity will be increased to 4 times.

At the same time, the adjustable parameters also include the diameter of the overflow pipe, the depth of the overflow pipe and the diameter of the sedimentation opening.

 1. Overflow Pipe Diameter

The diameter of the overflow pipe has a great influence overall hydrocyclone. The larger the diameter of the overflow pipe is, the lower the pressure will be, the overflow productivity will increase, the overflow fineness will become coarser, and the classification efficiency will first stabilize and then decrease. Therefore, the classification efficiency should be maintained within a stable range. The influence of the diameter of the sediment on the whole hydrocyclone is relatively small, but the larger the sedimentation mouth is , the more the sedimentation will increase and the fine particle content will increase. Therefore, if the overflow and the sediment are adjusted at the same time, the relative yield of overflow and sediment can be changed.

The diameter of the overflow pipe of the hydrocyclone has a great influence on the angle ratio of the hydrocyclone. The pyramid ratio refers to the ratio of the diameter of the overflow pipe to the diameter of the sediment (dov/ds), which is an important parameter that affects the volumetric yield and the granularity of the overflow and sediment. The pyramid ratio of the hydrocyclone used in actual production is generally 3~4. In general, the classification of fine-grained materials can use a smaller pyramidal ratio, while the classification of coarse-grained materials uses a larger ratio of pyramids.

2. Wall Thickness of Overflow Pipe

The wall thickness of the overflow pipe also influences the overflow effect. The experimental results show that, increasing the wall thickness can also increase the separation efficiency, reduce the internal energy loss, and increase the production capacity to some extent.

3. Overflow Tube Depth

In addition, the depth of the overflow tube insertion also influences the shunting effect, as the change in insertion depth affects both the pressure drop and the separation effect. As the insertion grows deeper, the pressure drop first increases and then decreases. However, if the insertion is too deep, large particles cannot be separated smoothly.


These are some of the common problems in the hydrocyclone design. However, in practical applications, in addition to the above parameters, there are other factors that also needs to be considered, including feed pressure, lining materials, etc. You can consult a qualified hydrocyclone manufacturer to select the appropriate hydrocyclone size and model according to different capacity and slurry concentration to achieve the best classifying effect. After considering about all of these elements that may influence the classifying effect, you can get more content final products.

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