The contribution of DEM to the science of comminution
Review article, 2013

The ability to model comminution techniques has been key in the mineral processing industry and other industries where size reduction of rocks is a key focus. With the need for more accurate and sophisticated models, the introduction of computational models like the discrete element method (DEM) has started to solve some of the complex problems in comminution. This review article provides a general, though not exhaustive, overview of the application of computational techniques to the science of comminution. Over the last two decades the DEM has become an important tool for understanding comminution fundamentals and providing information for the design, optimisation and operation of comminution devices. Over that time, the application of DEM in simulating fracture, breakage, crushing, milling and equipment wear has increased in size and complexity. Information from DEM has contributed to modelling techniques like, mechanistic modelling, the Unified Comminution Model and the Virtual Comminution Machine. These have enabled step changes in understanding of comminution processes. DEM is now widely used in industries where comminution is critical. Important challenges remain for the next decade including representation of unresolved fine material: prediction of its influence on the overall processes and its size reduction. Similarly, slurry phase transport and rheology have barely been touched on in using computational techniques in comminution modelling. Most importantly in the future is the uptake of the DEM outputs into standard comminution models used in design and optimisation of equipment and processes, as despite the progress made in understanding and in quantitative outputs the barriers to routine uptake have not been surmounted.

Mechanistic models

Liner wear modelling

Crushers

DEM

Grinding Mill

Comminution

Author

Nirmal Weerasekara

University of Queensland

Malcolm Powell

University of Queensland

Paul Cleary

Commonwealth Scientific and Industrial Research Organisation (CSIRO)

Luís Marcelo Tavares

Federal University of Rio de Janeiro

Magnus Evertsson

Chalmers, Product and Production Development, Product Development

Robert Morrison

University of Queensland

Johannes Quist

Chalmers, Product and Production Development, Product Development

Rodrigo Carvalho

Federal University of Rio de Janeiro

Powder Technology

0032-5910 (ISSN) 1873-328X (eISSN)

Vol. 2013 3-4

Subject Categories

Mineral and Mine Engineering

Computational Mathematics

Areas of Advance

Production

DOI

10.1016/j.powtec.2013.05.032

More information

Latest update

7/19/2021