Shanghai SBM SCM Ultrafine Mill Empowers 15,000-Ton Annual Ferrite Project
Ferrite, renowned for its high resistivity, superior dielectric properties, and high-frequency magnetic permeability, has become an indispensable functional material in modern electronics, communication technologies, and new energy sectors. However, its complex preparation process demands extreme precision in raw material fineness, uniformity, and stability. The grinding technology employed during production directly determines the final product’s magnetic performance and reliability, making it a critical breakthrough point for industry advancement.
Ferrite Preparation Process
The manufacturing of permanent magnet ferrite materials resembles the sintering processes widely used in the ceramics industry. The process flow typically follows several key steps common in ceramic sintering.
15,000-Ton Annual Ferrite Grinding Production Line
A Zhejiang-based innovative enterprise specializing in new energy materials has launched a high-performance ferrite powder R&D project, targeting premium markets with an initial annual production capacity of 15,000 tons.
Unlike traditional production-focused manufacturers, this client is an R&D-driven organization with exceptionally stringent requirements for powder uniformity, impurity content, and surface activity. As one of the few domestic enterprises capable of delivering "R&D-grade grinding solutions," Shanghai SBM quickly assembled an interdisciplinary team comprising materials engineers, equipment designers, and process experts. The team provided full-process support spanning raw material characterization, grinding system design, and trial parameter optimization, ensuring the final product met ultra-precise specifications.
SBM’s SCM Ultrafine Mill Advantages:
Nanoscale Precision: Achieves D97 ≤ 5μm with narrow particle size distribution;
Contamination Control: Fully ceramic-lined grinding chamber minimizes iron impurity introduction;
Stability Guaranteed: AI-powered dynamic monitoring adjusts grinding pressure and classifier speed in real time.
