Model Order Reduction for Discrete Particle Systems

Basic data for this project

Type of project: Internally at the University of Münster funded project

Duration at the University of Münster: 01/08/2023 - 31/12/2024

Description

Granular materials are the most manipulated substance on the planet, after water. They play a vital role in numerous industries, including chemical, pharmaceutical, agri-food, energy, high-tech manufacturing, mining, and construction. While other sectors like aerospace have embraced computer-aided design, these industries still heavily rely on time-consuming and costly experimentation. To bridge this gap, a project is underway to combine two prominent open-source codes, MercuryDPM (UT) and pyMOR (UM), for the simulation of the behavior of granular materials, which promises to save time and resources in the design and development processes as well as to improve the overall performance and reliability of the final product or system.

Keywords: Analysis; Numerics; Granular Material; Fluid Engineering; Thermal Engineering

Funder / funding scheme:

Uni Münster-internal funding - Strategic Collaboration Grant

Project management at the University of Münster

Rave, Stephan

Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)

Applicants from the University of Münster