The pelletizing rate of a disc granulator can be evaluated from the following aspects:
Definition and calculation method: The pelletizing rate refers to the proportion of qualified particles formed during the granulation process of organic fertilizer equipment to the total material volume. It is usually calculated by the following method: Manual screening method: Take samples from the discharge area of the granulator, separate the qualified particles from the unqualified ones using sieves of different specifications, weigh the weight of the qualified particles and the total weight, and calculate the pelletizing rate. Real-time detection method: By installing particle size detection devices in the discharge area, the particle size and quantity of raw pellets are detected in real time, and the pellet formation rate is calculated.
2. Influencing factors: The fineness and particle size uniformity of raw materials have a significant impact on the pelletizing rate. Raw materials with uniform particle size are more likely to form balls. The parameters such as the diameter, inclination Angle and rotational speed of the disc granulator have a significant impact on the pelletizing rate. For instance, an appropriate inclination Angle and rotational speed can enhance the efficiency of pelletizing. The feeding amount, the spraying position and method of the binder, the moisture content of the material and other operating conditions will also affect the pelletizing rate.
3. Optimization suggestions: Adjust equipment parameters: According to the actual production situation, adjust parameters such as the inclination Angle and rotational speed of the disc to increase the pelletizing rate. Maintain a stable feeding amount, ensure that the binder is sprayed in a mist form, and control the moisture content of the materials. By using the real-time detection system, the equipment parameters are adjusted in a timely manner according to the changes in the pelletizing rate.
Through the above methods, the pelletizing rate of the disc granulator can be effectively evaluated and optimized, improving production efficiency and product quality.
