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HIPECS - High performance calculation of crushing and grinding in large particle systems

Comminution is energy-intensive. There is a need for innovation in the field to reduce energy consumption drastically. Virtual development is a keystone to further improving existing equipment and, more importantly, developing new machine concepts. Rock materials can be modelled using the discrete element method (DEM). The technique is mature and an industry standard for bulk flow analysis. However, in order to use DEM for simulation-based design of comminution machines, particle fracture is needed. While several approaches have been demonstrated, there is still an evident technological gap in computational performance and particle fracture physics needed for usability in engineering design. A novel solver for irregular non-convex polyhedral particles has been developed at FCC, allowing for 5-50 million particles in a simulation. The performance is realised through state-of-the-art HPC computing on Graphical-Processing-Units (GPUs). This new level of computational scale opens up new doors for addressing the particle breakage problem in DEM.

At LTU, single-particle rock specimens can be modelled accurately, but with a high computational cost. The problem arises when attempting to simulation large systems of particles, such as for a full-scale machine. Then a trade-off needs to be made between the resolution on a single particle level and the total number of particles in the system. A novel AI-based framework will be developed in this pre-study, bridging the gap between single-particle high-resolution models and large-scale particle system simulations. A successful future full-scale project will dramatically affect simulation capabilities for equipment manufacturers, innovators, and mining companies.

Goal
Develop a machine learning framework to bridge an accurate fracture model and a fast AI-based fracture model, allowing for comminution simulation of large particle systems

Contact

Pär Jonsén

Pär Jonsén, Professor and Head of Subject, Head of Division

Phone: +46 (0)920 493460
Organisation: Solid Mechanics, Solid Mechanics, Department of Engineering Sciences and Mathematics
Laura Suarez

Laura Suarez, PhD Student

Phone: +46 (0)920 492432
Organisation: Solid Mechanics, Solid Mechanics, Department of Engineering Sciences and Mathematics