An Investigation into Solution Verification for CFD-DEM

Fullmer, W D; Musser, J

doi:10.18141/1475587

Title: An Investigation into Solution Verification for CFD-DEM

Dataset
Other Related Research

Abstract

ARS TRS

Authors:: Fullmer, W D; Musser, J

Publication Date:: 2018-10-04

Other Number(s):: 3a63f5b8-7c95-4418-993f-1305c79386a7

DOE Contract Number:: DE-FE0004000

Research Org.:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)

Sponsoring Org.:: USDOE Office of Fossil Energy (FE)

Keywords:: TRS

OSTI Identifier:: 1475587

DOI:: https://doi.org/10.18141/1475587

Citation Formats


                    Fullmer, W D, and Musser, J. An Investigation into Solution Verification for CFD-DEM.  United States: N. p., 2018. 
        Web.  doi:10.18141/1475587.

Copy to clipboard


                    Fullmer, W D, & Musser, J. An Investigation into Solution Verification for CFD-DEM.  United States.  doi:https://doi.org/10.18141/1475587

Copy to clipboard


                    Fullmer, W D, and Musser, J. 2018.  
"An Investigation into Solution Verification for CFD-DEM".  United States.  doi:https://doi.org/10.18141/1475587.  https://www.osti.gov/servlets/purl/1475587. Pub date:Thu Oct 04 00:00:00 EDT 2018

Copy to clipboard


                    
@article{osti_1475587,

  title        = {An Investigation into Solution Verification for CFD-DEM},

  author       = {Fullmer, W D and Musser, J},

  abstractNote = {ARS TRS},

  doi          = {10.18141/1475587},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2018},

  month        = {10}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.18141/1475587

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

An Investigation into Solution Verification for CFD-DEM

Technical Report Fullmer, William D. ; Musser, Jordan

This report presents the study of the convergence behavior of the computational fluid dynamicsdiscrete element method (CFD-DEM) method, specifically National Energy Technology Laboratory’s (NETL) open source MFiX code (MFiX-DEM) with a diffusion based particle-tocontinuum filtering scheme. In particular, this study focused on determining if the numerical method had a solution in the high-resolution limit where the grid size is smaller than the particle size. To address this uncertainty, fixed particle beds of two primary configurations were studied: i) fictitious beds where the particles are seeded with a random particle generator, and ii) instantaneous snapshots from a transient simulation of anmore »« less
Numerical Experiments in Multiphase CFD: Artificial Levitation of a Very Shallow Fluidized Bed in CFD-DEM

Dataset Fullmer, W D ; Xu, Y ; Dietiker, J -F

ARS TRS
Parameter Calibration and Uncertainty Quantification via Surrogate Model Optimization for CFD-DEM Modelling of a Small-Scale Slugging Bed

Dataset Fullmer, W D ; Webber, J ; VanEssendelft, D

ARS TRS
CFD-DEM solution verification: Fixed-bed studies

Journal Article Fullmer, William D. ; Musser, Jordan - Powder Technology

Cited by 16
CFD-DEM solution verification: Fixed-bed studies

Journal Article Fullmer, William D. ; Musser, Jordan - Powder Technology

Fixed (frozen) particle configurations are used to study CFD-DEM convergence behavior in the limit of infinite grid resolution. A filtering scheme based on solving a diffusion equation, i.e., a Gaussian kernel, is used to interpolate particle information to the continuum grid, free of cell size limitations. A regression method is used for Richardson extrapolation of the discrete solutions to the grid-free solution. The regression method is shown to predict accurate extrapolation curves in the presence of the observed oscillatory convergence behavior. The extrapolation curve is used to complete the solution verification process by quantifying the numerical uncertainty present in themore »« less
Cited by 16

Similar Records