A webGF-Mill image showing the motion of particles adjacent to a lifter bar. Particle colouring indicates particle diameter; red indicating large particles and blue indicating small particles
A webGF-Mill image showing the motion of rocks and steel balls in a section along the length of a grinding mill. Particle colouring indicates particle speed with red being the fastest moving particles and blue the slowest or stationary particles.
CSIRO has developed an Internet-based simulation tool that predicts the motion of particles inside grinding mills, providing insight into the way mills work and enabling huge energy savings from smarter, more energy efficient design.
webGF-Mill assesses the design and function of the grinding mills used at mines to crush ore.
"Improving mill design is important because of the amount of energy that mills use," says CSIRO mathematician Dave Morton. "Typically, grinding mills are very inefficient. An average mill around 10 metres in diameter consumes roughly the energy required to supply 10 000 average Australian households. Unfortunately, only 5% of this energy is consumed by the processes that actually break the rocks inside the mill."
Rosie Schmedding | CSIRO
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