Implementation and Refinement of a Comprehensive Model for Dense Granular Flows

 

Regime map displaying dimensionless pressure vs.<br/>dimensionless shear rate at various particle<br/>volume fractions, as determined from DEM simulations.
Regime map displaying dimensionless pressure vs.
dimensionless shear rate at various particle
volume fractions, as determined from DEM simulations.
Performer: 
Princeton University
Website:  Princeton University
Award Number:  FE0006932
Project Duration:  10/01/2011 – 09/30/2015
Total Award Value:  $420,366.00
DOE Share:  $300,000.00
Performer Share:  $120,366.00
Technology Area:  University Training and Research
Key Technology:  Simulation-Based Engineering
Location:  Princeton, New Jersey

Project Description

This project will implement and validate a new granular stress model in Multiphase Flow with Interphase eXchanges (MFIX) while continuing to improve the model to capture more complex flow behavior. The proposed work consists of the following major goals. Goal 1: Implement in MFIX, the steady shear rheological model developed recently by the PI’s group; perform MFIX simulations of various test problems such as hopper, chute, and Couette flows using this rheological model and no-slip and partial slip boundary conditions already available in MFIX; and compare against experimental and discrete element method (DEM) simulation data. Goal 2: Develop improved wall boundary conditions for the particle phase that can be applied in all three regimes of flow and implement them in MFIX. Examine the effect of refined boundary conditions on flow characteristics in the test problems mentioned in Goal 1. Goal 3: Further develop the rheological model to allow for dynamic evolution of the stresses, make appropriate modifications to the MFIX implementation, and conduct appropriate validation tests.

Project Benefits

This project will focus on using a combination of continuum simulations for model validation and discrete particle simulations for model refinement. These developments will enhance the ability to interrogate both dense and moderately dilute flow behavior in large-scale processes leading to better process design and reduced costs associated with scale-up of advanced technologies that include complex flow regimes.

Contact Information

Federal Project Manager 
Jason Hissam: jason.hissam@netl.doe.gov
Technology Manager 
Susan Maley: susan.maley@netl.doe.gov
Principal Investigator 
Sankaran Sundaresan: sundar@princeton.edu
 

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