Engineering Computations
Vol. 21 No. 2/3/4, 2004
Abstracts and keywords
Emerald Group Publishing Limited
0264-4401
Andrew McBride, Indresan Govender,
Malcolm Powell and Trevor Cloete
Keywords Discrete manufacturing, Experimentation, Simulation
Accurate 3D experimental particle trajectory data, acquired from a laboratory tumbling mill using bi-planar X-ray filming, are used to validate the discrete element method (DEM). Novel numerical characterisation techniques are presented that provide a basis for comparing the experimental and simulated charge behaviour. These techniques are based on fundamental conservation principles, and provide robust, new interpretations of charge behaviour that are free of operator bias. Two-and three-dimensional DEM simulations of the experimental tumbling mill are performed, and the relative merits of each discussed. The results indicate that in its current form DEM can simulate some of the salient features of the tumbling mill charge, however, comparison with the experiment indicate that the technique requires refinement to adequately simulate all aspects of the system.
E. Tijskens, J. De Baerdemaeker and
H. Ramon
Keywords Discrete manufacturing, Numerical analysis, Modelling
Particles in granular matter can have very different and irregular shapes. The computational treatment of nonspherical objects is a major difficulty in the simulation of granular flows. In this paper, two basic strategies for contact resolution between objects described by level surfaces are presented and analyzed. They are based on the iterative solution of systems of nonlinear equations. The major...
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