Enhancing the physical modeling capability of open-source MFIX-DEM software for handling particle size polydispersity: Implementation and validation
Abstract
Multiphase flows are ubiquitous in many industrial processes. The inherent coupling of different phases poses many unique challenges in predicting and effectively controlling these processes. Hence, computational modeling and simulation offers a viable approach to overcome these challenges. Here in this study, we present recent development efforts for enhancing the physical modeling capabilities of an open-source computational modeling tool for real life industrial multiphase processes by enabling particle-size polydispersity and demonstrating with an associated validation study. The proposed implementation was performed in MFIX open-source framework due to its unique feature of tightly integrated computational fluid dynamics and discrete element method solvers for simulating coupled continuum fluid and granular flows. We have implemented the polydispersity feature in a minimally invasive way and provided means to allow easy specification of an arbitrary particle size distribution function, which also enables the user to easily handle an arbitrary number of solid phases, each possessing a distinct arbitrary particle-size distribution. To establish the credibility of improvements, we have carried out a preliminary verification and validation (V&V) study for the polydispersity feature by employing a hopper bin discharge problem, which is frequently encountered in industrial applications. Specifically, two types of micro-glass beads with distinct size distributionsmore »
- Authors:
-
- Arizona State University, Tempe, AZ (United States)
- Publication Date:
- Research Org.:
- Arizona State Univ., Tempe, AZ (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE); National Science Foundation (NSF)
- OSTI Identifier:
- 1534262
- Alternate Identifier(s):
- OSTI ID: 1398581
- Grant/Contract Number:
- FE0026393; AC02-05CH11231; ACI-1053575
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Powder Technology
- Additional Journal Information:
- Journal Volume: 317; Journal Issue: C; Journal ID: ISSN 0032-5910
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; granular flow; polydisperse particles; discharge hopper; open-source modeling and simulation; discrete element method; DEM; MFIX-DEM
Citation Formats
Chen, Shaohua, Adepu, Manogna, Emady, Heather, Jiao, Yang, and Gel, Aytekin. Enhancing the physical modeling capability of open-source MFIX-DEM software for handling particle size polydispersity: Implementation and validation. United States: N. p., 2017.
Web. doi:10.1016/j.powtec.2017.04.055.
Chen, Shaohua, Adepu, Manogna, Emady, Heather, Jiao, Yang, & Gel, Aytekin. Enhancing the physical modeling capability of open-source MFIX-DEM software for handling particle size polydispersity: Implementation and validation. United States. https://doi.org/10.1016/j.powtec.2017.04.055
Chen, Shaohua, Adepu, Manogna, Emady, Heather, Jiao, Yang, and Gel, Aytekin. Tue .
"Enhancing the physical modeling capability of open-source MFIX-DEM software for handling particle size polydispersity: Implementation and validation". United States. https://doi.org/10.1016/j.powtec.2017.04.055. https://www.osti.gov/servlets/purl/1534262.
@article{osti_1534262,
title = {Enhancing the physical modeling capability of open-source MFIX-DEM software for handling particle size polydispersity: Implementation and validation},
author = {Chen, Shaohua and Adepu, Manogna and Emady, Heather and Jiao, Yang and Gel, Aytekin},
abstractNote = {Multiphase flows are ubiquitous in many industrial processes. The inherent coupling of different phases poses many unique challenges in predicting and effectively controlling these processes. Hence, computational modeling and simulation offers a viable approach to overcome these challenges. Here in this study, we present recent development efforts for enhancing the physical modeling capabilities of an open-source computational modeling tool for real life industrial multiphase processes by enabling particle-size polydispersity and demonstrating with an associated validation study. The proposed implementation was performed in MFIX open-source framework due to its unique feature of tightly integrated computational fluid dynamics and discrete element method solvers for simulating coupled continuum fluid and granular flows. We have implemented the polydispersity feature in a minimally invasive way and provided means to allow easy specification of an arbitrary particle size distribution function, which also enables the user to easily handle an arbitrary number of solid phases, each possessing a distinct arbitrary particle-size distribution. To establish the credibility of improvements, we have carried out a preliminary verification and validation (V&V) study for the polydispersity feature by employing a hopper bin discharge problem, which is frequently encountered in industrial applications. Specifically, two types of micro-glass beads with distinct size distributions are used to fill the hopper in two possible packing arrangements, i.e., well-mixed and layered configurations, with varying mass (particle number) ratios. The experimentally obtained discharge dynamics (e.g., normalized discharge mass fraction for one of the phases versus the overall discharge mass fraction) for different systems is found to be in excellent agreement with the corresponding simulation results.},
doi = {10.1016/j.powtec.2017.04.055},
journal = {Powder Technology},
number = C,
volume = 317,
place = {United States},
year = {Tue Apr 25 00:00:00 EDT 2017},
month = {Tue Apr 25 00:00:00 EDT 2017}
}
Web of Science
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Works referencing / citing this record:
Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry
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