Project Details
Description
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).
The CD-Laboratory for ‘Multi-scale Modeling of Multiphase Processes’ aims at pioneering novel multi-scale simulation methodologies enabling 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.
| Status | Finished |
|---|---|
| Effective start/end date | 01.02.2016 → 31.01.2023 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- voestalpine Stahl GmbH (Project partner)
- RHI Magnesita GmbH (Project partner)
- Borealis AG (Project partner)
- Primetals Technologies Austria GmbH (Project partner)
Fields of science
- 211104 Metallurgy
- 203 Mechanical Engineering
- 203024 Thermodynamics
- 204006 Mechanical process engineering
- 103032 Fluid mechanics
- 103043 Computational physics
- 203016 Measurement engineering
- 204007 Thermal process engineering
JKU Focus areas
- Sustainable Development: Responsible Technologies and Management
- Digital Transformation
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A comprehensive comparison of Two-Fluid Model, Discrete Element Method and experiments for the simulation of single- and multiple-spout fluidized beds
Esgandari, B., Rauchenzauner, S., Goniva, C., Kieckhefen, P. & Schneiderbauer, S., 05 Mar 2023, In: Chemical Engineering Science. 267, p. 118357 23 p., 118357.Research output: Contribution to journal › Article › peer-review
Open Access -
A dynamic multiphase turbulence model for coarse-grid simulations of fluidized gas-particle suspensions
Rauchenzauner, S. & Schneiderbauer, S., 16 Jan 2022, In: Chemical Engineering Science. 247, p. 117104 21 p., 117104.Research output: Contribution to journal › Article › peer-review
Open Access -
Anisotropy characterization of turbulent fluidization
Dabbagh, F. & Schneiderbauer, S., Sept 2022, In: Physical Review Fluids. 7, 9, p. 094301 29 p., 094301.Research output: Contribution to journal › Article › peer-review
Open Access
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The Effect of Clusters on the Heat and Mass Transfer in Fluidized Gas-Particle Flows
Schneiderbauer, S. (Speaker)
23 May 2023Activity: Talk or presentation › Contributed talk › science-to-science
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The effect of clusters on the heat transfer in gas-particle flows
Rauchenzauner, S. (Speaker)
11 Nov 2022Activity: Talk or presentation › Invited talk › science-to-science
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The Multi-Level Coarse-Grain Model used in CFD-DEM Simulations of Iron Ore Reduction
Queteschiner, D. (Speaker)
20 Sept 2022Activity: Talk or presentation › Contributed talk › science-to-science