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Measurement-Based Modelling of Material Moisture and Particle Classification for Control of Copper Ore Dry Grinding

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Material moisture significantly affects dry grinding efficiency and particle characteristics. This study models how moisture influences particle classification, aiding automatic control of grinding systems.

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Area of Science:

  • Mineral Processing
  • Particle Technology
  • Process Control

Background:

  • Material moisture content critically impacts dry grinding operations, affecting energy efficiency, particle size distribution, particle shape, and powder transport.
  • Accurate measurement or estimation of moisture is essential at multiple points within industrial processes.
  • Understanding moisture's role in particle classification is key to optimizing grinding circuit performance.

Purpose of the Study:

  • To investigate the relationship between bulk material moisture and the particle classification process in a dry grinding circuit.
  • To model the drying behavior of classified products based on input material moisture.
  • To develop simple models for integration into an automatic control system for grinding installations.

Main Methods:

  • Utilized an experimental setup comprising an electromagnetic mill, an inertial-impingement classifier, a cyclone, and a coarse particle recycle loop.
  • Tested copper ore with particle sizes ranging from 0-1.25 mm and relative moisture content from 0.5% to 5%.
  • Employed recursive least squares method to estimate straight-line models (with and without saturation) for drying processes, accounting for measurement errors.

Main Results:

  • Increased input material moisture was observed to alter the classifier's operational dynamics.
  • Correlation analyses indicated a higher concentration of fine particles in the lower classification product as moisture increased.
  • Developed and validated linear models describing the drying of classification products.

Conclusions:

  • Material moisture is a significant factor influencing particle classification efficiency and product characteristics in dry grinding circuits.
  • The developed drying models provide a basis for real-time moisture estimation and control.
  • These findings support the implementation of advanced automatic control systems for optimizing grinding processes.