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Stirred media mill performance and grinding wear prediction

Reference number
Coordinator Luleå tekniska universitet - Avdelningen för Material- och solidmekanik
Funding from Vinnova SEK 500 000
Project duration March 2018 - October 2018
Status Completed
Venture The strategic innovation programme for Swedish mining and metal producing industry - SIP Swedish Mining Innovation

Purpose and goal

Grinding in stirred media mills are attrition driven, but it is unknown if the efficiency is limited by charge pressure, charge shear stresses or viscous flow. The goal for the project is to create possibilities for a future optimization tool for minimizing energy consumption and wear in industrial milling circuits. The main objective of the project is to build a physics-based numerical model that can virtually reproduce the grinding process. For the preliminary study, this objective was obtained by combining different numerical methods to recreate the physical behavior in the mill.

Expected effects and result

Experimental testing has been carried out to investigate how grinding efficiency is coupled to energy consumption for various load cases. Measurements of energy consumption, power, energy loss through cooling, particle size and rheology have been obtained. Results from the simulation of the stirred media mill show that the model can capture the interaction between pulp-structure-grinding beads. Flow patterns on both fluid and grinding beads and its influence of different density and viscosity can be shown. This opens possibilities for future optimizations tools in grinding.

Planned approach and implementation

Advanced measurements in combination with numerical modelling and validation have been carried out. A fundamental part is the experimental study and analysis of grinding in a stirred media mill to obtain calibration data for numerical models is significant. Also, formation of a physically based model of the stirred media mill for simulations is included. Simulation of the grinding process for various load cases for prediction of load intensity have been done. Model validation against pulp- and cooling water flows, energy and wear patterns experimental data are in agreement.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 8 January 2019

Reference number 2017-05463

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