High Fidelity Computational Model for Fluidized Bed Experiments


Overview of MFiX – Trilinos Integration
Overview of MFiX – Trilinos Integration
University of Texas at El Paso
Website:  University of Texas at El Paso
Award Number:  FE0026220
Project Duration:  09/01/2015 – 08/31/2018
Total Award Value:  $339,999
DOE Share:  $339,999
Performer Share:  $0
Technology Area:  University Training and Research
Key Technology:  Simulation-Based Engineering
Location:  El Paso, TX

Project Description

The goal of this project is to develop a high-fidelity and user-friendly multiphase simulator based on the Multiphase Flow with Interphase eXchanges (MFiX) software package, a multiphase computational fluid dynamics (CFD) software developed by the U.S. Department of Energy (DOE) and widely used by the fossil fuel reactor communities.

This work will leverage the linear solver libraries from Trilinos packages and open-source software packages developed by Sandia National Laboratories. Trilinos packages provide easy to use and scalable applied mathematics libraries suitable for massively parallel computers and are kept up to date for the latest hardware, including graphics processing unit (GPU) acceleration. To achieve this, the project will devise a framework to integrate the MFiX linear solvers with the Trilinos linear solver packages (Trilinos MFiX), evaluate the performance of the state-of-the-art preconditions and linear solvers, and test Trilinos MFiX with the MFiX suite of problems on massively parallel and cloud-based computers with and without GPU acceleration.
Project Benefits

Project Benefits

Integration of Trilinos in MFiX is expected to provide advanced modeling capabilities in MFiX, enable efficient use of the existing resources from various DOE labs, reduce development costs without compromising competitiveness, and have the potential to make it easier to add new physics-based features such as new drag-models based on theoretical, numerical, or table-based drag coefficients. Trilinos’ features for high-performance computing platforms and the latest directed development for a GPU-based computational platform will allow MFiX users to use up-to-date faster and cheaper computational hardware than that currently available in the market.

Contact Information

Federal Project Manager 
Otis Mills: otis.mills@netl.doe.gov
Technology Manager 
Briggs White: briggs.white@netl.doe.gov
Principal Investigator 
Vinod Kumar: VKumar@utep.edu

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