Enhancing the physical modeling capability of open-source MFIX-DEM software for handling particle size polydispersity: Implementation and validation

Chen, Shaohua; Adepu, Manogna; Emady, Heather; Jiao, Yang; Gel, Aytekin

doi:10.1016/j.powtec.2017.04.055

Enhancing the physical modeling capability of open-source MFIX-DEM software for handling particle size polydispersity: Implementation and validation

Journal Article · Tue Apr 25 00:00:00 EDT 2017 · Powder Technology

DOI:https://doi.org/10.1016/j.powtec.2017.04.055· OSTI ID:1534262

Chen, Shaohua ^[1]; Adepu, Manogna ^[2]; Emady, Heather ^[2]; Jiao, Yang ^[2]; Gel, Aytekin ^[2]

Arizona State University, Tempe, AZ (United States); DOE/OSTI
Arizona State University, Tempe, AZ (United States)

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.

View Accepted Manuscript (DOE)

Research Organization:: Arizona State University, Tempe, AZ (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE; USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: AC02-05CH11231; FE0026393

OSTI ID:: 1534262

Alternate ID(s):: OSTI ID: 1398581

Journal Information:: Powder Technology, Journal Name: Powder Technology Journal Issue: C Vol. 317; ISSN 0032-5910

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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