Our research focus aims at pioneering novel multi-scale simulation methodologies to enable the numerical analysis of long-term large scale gas-solid processes, based on a systematic concurrently connected coarse-graining that analyses different temporal and spatial scales simultaneously.
In many industrial processes multiphase flows, which consist of multiple separate yet interacting phases, are of primary importance and multi-scale modeling is essential to gain a deeper understanding of these processes at large (industrial) scales. Here, many relevant multiphase flows are made up of a continuous primary phase (gas, liquid) and dispersed secondary phases (solid particles, liquid droplets, bubbles). State-of-the-art multi-scale modeling methods consider the different spatial length scales separated and temporally disconnected. These methods further ignore the wide range of the involved temporal scales. Above that the characteristic time scale of the real process may be in the range of hours requiring unaffordable high computational resources and in general the coarse grained models depend on the microscopic properties of the actual system (e.g. particle clusters and small scale design features).