Student Number : 9806611F -
PhD thesis -
School of Chemical and Metallurgical Engineering -
Faculty of Engineering and the Built Environment / Modelling of comminution in tumbling mills is usually done using the selection
and breakage function models. While this has been a success for ball milling it has
not been the case with Autogenous and Semi- Autogenous mills where
performance is easily affected by slight variations in operations. A numerical
model, Discrete Element Method (DEM) a much more detailed model for the nonlinear
behaviour of mill loads is proposed as a possible solution to this problem.
The Discrete Element Method algorithm is a numerical technique for solving
problems that involve a large number of interacting bodies. The dissipative forces
(normal, tangential or frictional) at points of contact are modelled using a springslider-
dashpot and the dynamics of the particles are modelled by applying
Newton’s laws of motion. A record of information about contact events occurring
during simulation is stored in the output files and can be thereafter applied for a
wide range of purposes.
The contact events and their corresponding energy levels derived from the
simulation are applied to determine the particle failure rate in a mill. The
probability of particle failure does however also depend on the inherent fracture
properties of a material; hence particle fracture tests on the ore samples were
conducted using the JK drop-weight impact test machine. Using this tool, data that
related the probability of breakage to the energy input and the number of impact
attempts were obtained and a model describing this relationship was derived.
Using the energy spectra that resulted from the simulations of milling and the
Breakage probability model, an attempt was made to predict the experimental
results of a mill operating under a wide range of conditions.
Good prediction was achieved after a careful choice of model parameters. A
systematic approach of establishing the most suitable parameters is recommended
for future work. These parameters would also compensate for conditions beyond the limits of the model such as particles being too small to simulate or having a
complex shape.
The predictions were based on two size fractions as a way of making this task
more manageable. It is apparent that this work can be extended to do a full SAG
and AG mill simulation.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/1729 |
| Date | 15 November 2006 |
| Creators | Bwalya, Murray Mulenga |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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