Application to mineral processes

Mechanistic and AI-driven optimisation of mineral processing operations including bulk solids handling, grinding and cyclone separation.

Bulk solid handling and transportation

DEM-based models will be developed and used to study common existing problems in handling and transportation operations. This information can be used to quantify how the energy is dissipated in an operation. In particular, efforts will be made to establish a general continuum theory to describe different processes or granular dynamics as a whole, one of the most significant problems challenging the research community.

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Grinding (and crushing)

Mechanistic and data-driven models will be used together, aiming to develop a new method for better design, control and optimisation of a grinding process of iron ores, which is known to have very low energy efficiency

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Cyclone separator

An intelligent platform will be established to improve cyclone’s separation efficiency and minimise the adverse impact of operation oscillation. Mechanistic model(s) will be used to generate extensive data under well-controlled conditions. These data, together with measurements, will be used to train data-driven models to guarantee applicability. This integration will lead to the development of a digital twin for process control.

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Co-simulation applications

Co-simulation will be applied to guide the operation of mobile handling machines, such as hydraulic excavators and gyratory crushers. The bucket path will be compared with empty load condition, and the resistance forces/torques will be compared to decoupled DEM to evaluate the significance of co-simulation. Also, the effects of the mechanical system (bucket geometry design) on solid material-bucket interaction forces and thus on wear will be investigated in detail.

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