Quantifying the Uncertainty of Kinetic-theory Predictions of Clustering Email Page
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Performer: University of Colorado - Boulder
Molecular dynamics (MD) simulations are<br/>used to understand particulate flows.
Molecular dynamics (MD) simulations are
used to understand particulate flows.
Website: University of Colorado
Award Number: FE0007450
Project Duration: 09/21/2011 – 09/20/2014
Total Award Value: $299,999
DOE Share: $299,999
Performer Share: $0
Technology Area: University Training and Research
Key Technology: Simulation-Based Engineering
Location: Boulder, Colorado

Project Description

The main goal of the project is to quantify the uncertainty associated with kinetic-theory predictions of the clustering instabilities present in high-velocity gas-solid flows. There are two major objectives. The first is to generate benchmark data with an eye toward determining the relative importance of the physical mechanisms that give rise to the instabilities. Although it has been established previously that inelastic collisions and gas-phase effects can independently lead to instabilities in granular and gas-solid flows, their relative importance has not been examined, nor has the expected important effect of friction. The second objective is to apply kinetic-theory (continuum) models, with no adjustable parameters, to the same flow geometries used for the benchmark data. Kinetic-theory models have been shown to predict such instabilities, though previous validation work, such as snapshots and/or movies of particle clusters, is largely qualitative in nature.

Project Benefits

This project will focus on implementing and validating a new granular stress model in NETL’s Multiphase Flow with Interphase eXchanges software. The project will develop models to more accurately predict dense granular flows which are an integral part of the design in both power generation and industrial processes. The knowledge gained in this project is critical for accurate prediction of industrial systems, and results are expected to provide critical information for improving reactor efficiency in energy production systems.

Contact Information

Federal Project Manager Maria Reidpath: maria.reidpath@netl.doe.gov
Technology Manager Robert Romanosky: robert.romanosky@netl.doe.gov
Principal Investigator Christine Hrenya: hrenya@colorado.edu


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