Meeting stringent PSD requirements is essential in the battery industry to ensure that only particles of a specific size are used in the formulation, impacting the battery's life and performance significantly.​

Our Dynamic Inline or Stand Alone Classifier improves PSD precision and process efficiency by selectively classifying particles by size. It ensures the final product has uniform particle sizes, which is crucial for enhancing consistency and performance in battery applications.

The efficiency and effectiveness of a dynamic classifier in achieving the desired particle size distribution depend on several critical parameters:

Classifier Speed: The rotational speed of the classifier wheel is a fundamental parameter that influences the particle size distribution. Higher speeds lead to a finer particle classification as the increased centrifugal force pushes smaller particles outward to the fines discharge, while larger particles remain in the milling circuit for further size reduction.​

Air Barrier Classifier Pressure: This parameter refers to the air pressure used to create a pneumatic barrier that determines which particles are fine enough to pass through the classifier and which are returned to the mill for further size reduction. The pressure of the air barrier affects the cut point of the classifier, adjusting the tightness or looseness of the particle size distribution. Higher pressures generally increase the precision of particle size separation, promoting a narrower particle size distribution.​

Inlet Powder Particle Size Distribution: The initial size distribution of the powder fed into the classifier plays a critical role. A broad distribution can challenge the classifier's ability to efficiently separate particles, often requiring multiple passes to achieve uniformity. Conversely, a more consistent initial size distribution tends to enhance the classifier's performance, leading to more effective separation in a single pass.​

In addition to these parameters, the overall design and operation of the dynamic classifier can be optimized by considering factors such as the flow path of particles, the design of the classifier blades, and the integration with milling operations. Proper management of these factors ensures enhanced control over the final particle size distribution, crucial for applications like battery manufacturing where particle size impacts the product's performance and stability.​

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