Model Order Reduction for Discrete Particle Systems
Project Overview
This project aim to develop reduced-order models that capture the essential physics of granular systems at a fraction of the computational cost, by combining two flagship open-source software platforms:
- MercuryDPM (UT): a state-of-the-art code for particle simulations.
- pyMOR (WWU): a leading Python library for model order reduction (MOR).
Efficient simulation tools for granular materials will:
- Enable virtual prototyping and digital twins of bulk processes, reducing reliance on expensive experiments.
- Improve the design of silos, mixers, mills, and reactors, enhancing efficiency and safety.
- Support energy transition technologies, such as 3D-printed concrete and thermal energy storage.
- Provide open, FAIR software and datasets, fostering a European community for open-source simulation codes.
Impact
This collaboration bridges engineering and mathematics, linking the University of Twente and WWU Münster in a joint effort to tackle one of the most computationally challenging problems in process engineering. By developing novel DPM–CG–MOR coupling methods, we will open the door to real-time simulation and optimisation of granular flows — a step change for both industry and academia.
Funding: UT–WWU Strategic Collaboration Grant
