Powder Classifier

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• Core Advantages of Powder Classifiers​

  Using turbine classification and airflow separation technology, the Powder Classifier is a leading equipment for fine powder grading (5-150 microns). Its unique advantages over traditional sieving machines and centrifugal classifiers include:​

  • High Adaptability: It can grade a wide range of powders with particle sizes of 5-150 microns, including metal ore powders, non-metallic mineral powders, and chemical raw material powders.​

  • Adjustable Grading Range: The classified particle size range is 5 to 150 microns, meeting the needs of various industries.​

  • Energy Saving: Compared with traditional sieving machines, it saves 20%-40% energy and has lower specific power consumption.​

  • Precision and Stability: Its turbine rotor design ensures accurate grading, with a particle size error of less than 2%.​

  But please note! The Powder Classifier is not a universal classifier. Certain special powders (such as high-humidity and agglomerated powders) require additional equipment optimization.​

• Core Structure of the Powder Classifier​

  The core structure of the Powder Classifier can be divided into four major modules: the classification system, the airflow system, the feeding system, and the control system. These systems work together to ensure an efficient and stable powder grading process.​

  • Classification System: A high-speed turbine rotor design, combined with a frequency conversion drive, ensures precise grading, with key components boasting a service life of over 10,000 hours.​

  • Airflow System: A multi-stage cyclone separation structure dynamically adjusts airflow velocity, with a powder collection efficiency of over 99%.​

  • Feeding System: A screw feeder with adjustable speed, ensuring uniform material supply with a feeding stability error of less than 3%.​

  • Control System: PLC + touch screen intelligent control, with a grading parameter adjustment accuracy rate of up to 98%.​

  This structural design enables the Powder Classifier to improve grading efficiency by over 30% compared to traditional classifiers, while maintaining a particle size stability error of less than 2%.​