MFIX-Exa: A path toward exascale CFD-DEM simulations

MFIX-Exa is a computational fluid dynamics–discrete element model (CFD-DEM) code designed to run efficiently on current and next-generation supercomputing architectures. MFIX-Exa combines the CFD-DEM expertise embodied in the MFIX code—which was developed at NETL and is used widely in academia and industry—with the modern software framework, AMReX, developed at LBNL. The fundamental physics models follow those of the original MFIX, but the combination of new algorithmic approaches and a new software infrastructure will enable MFIX-Exa to leverage future exascale machines to optimize the modeling and design of multiphase chemical reactors.

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Behavior of particle swarms at low and moderate Reynolds numbers using computational fluid dynamics—Discrete element model

Physics of Fluids ◽

10.1063/5.0008518 ◽

2020 ◽

Vol 32 (7) ◽

pp. 073304

Author(s):

Oladapo Ayeni ◽

Shashank S. Tiwari ◽

Chunliang Wu ◽

Jyeshtharaj B. Joshi ◽

Krishnaswamy Nandakumar

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Element Model ◽

Reynolds Numbers ◽

Discrete Element ◽

Discrete Element Model ◽

Particle Swarms

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Computational Fluid Dynamics–Discrete Element Model Simulation of Flow Characteristics and Solids’ Residence Time Distribution in a Moving Bed Air Reactor for Chemical Looping Combustion

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.0c02426 ◽

2020 ◽

Vol 59 (40) ◽

pp. 18180-18192

Author(s):

Yali Shao ◽

Ramesh K. Agarwal ◽

Jiageng Li ◽

Xudong Wang ◽

Baosheng Jin

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Time Distribution ◽

Residence Time Distribution ◽

Model Simulation ◽

Flow Characteristics ◽

Element Model ◽

Chemical Looping Combustion ◽

Discrete Element Model ◽

Chemical Looping

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Discrete element model (DEM) simulations of cone penetration test (CPT) measurements and soil classification

Canadian Geotechnical Journal ◽

10.1139/cgj-2019-0512 ◽

2020 ◽

Vol 57 (9) ◽

pp. 1369-1387 ◽

Cited By ~ 1

Author(s):

A. Khosravi ◽

A. Martinez ◽

J.T. DeJong

Keyword(s):

Soil Classification ◽

Element Model ◽

Discrete Element ◽

Discrete Element Model ◽

Interparticle Contact ◽

Cone Penetration ◽

Dem Simulations ◽

Tip Resistance ◽

Contact Parameters ◽

Insight Into

This paper presents a study on the simulation of cone penetration tests (CPTs) using the discrete element model (DEM) method. This study’s main objective is to investigate the effect of different modeling parameters and simulation configurations on the ability of three-dimensional DEM simulations to replicate realistic CPT tip resistance (qc) and friction sleeve shear stress (fs) measurements. The CPT tests were simulated in virtual calibration chambers (VCCs) containing particles calibrated to model the behavior of sand. The parameters investigated included the granular assembly properties, interparticle contact parameters, particle–probe interface characteristics, and simulation configuration. Results indicate that the interparticle contact parameters, boundary conditions, and void ratio have an important role in the tip resistance and friction sleeve measurements obtained from the simulations. Particle-level interactions such as particle displacements and rotations and interparticle contact forces were analyzed throughout to provide insight into the differences in measured CPT response. Interpretation of the qc and fs measurements using soil behavior type (SBT) charts for soil classification indicates that the simulated CPT response is representative of the response of coarse-grained soils measured during field soundings. Analysis of results within the SBT framework can provide insight into the influence of soil particle properties on CPT-based soil classification.

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Simulation of Air Puff Tonometry Test Using Arbitrary Lagrangian-Eulerian (ALE) Deforming Mesh for Corneal Material Characterisation

10.20944/preprints201909.0278.v1 ◽

2019 ◽

Author(s):

Osama Maklad ◽

Ashkan Eliasy ◽

Kai-Jung Chen ◽

Vassilios Theofilis ◽

Ahmed Elsheikh

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Element Model ◽

Time Span ◽

Arbitrary Lagrangian Eulerian ◽

Dynamics Model ◽

Computational Fluid Dynamics Model ◽

Material Characterisation ◽

Air Jet ◽

Deforming Mesh

Purpose: To improve numerical simulation of the non-contact tonometry test by using Arbitrary Eulerian-Lagrangian deforming mesh in the coupling between computational fluid dynamics model of an air jet and finite element model of the human eye. Methods: Computational fluid dynamics model simulated impingement of the air puff and consisted of 25920 wedge6 elements and employed Spallart-Allmaras model to simulate capture turbulence of the air jet. The time span of the jet wais 30 ms and maximum Reynolds number

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Advances in simulation of gerotor pumps: An integrated approach

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406217694663 ◽

2017 ◽

Vol 231 (7) ◽

pp. 1221-1236 ◽

Cited By ~ 14

Author(s):

Giorgio Altare ◽

Massimo Rundo

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Integrated Approach ◽

Element Model ◽

Lumped Parameter Model ◽

Lumped Parameter ◽

Pump Flow Rate ◽

Incomplete Filling ◽

Pressure Ripple ◽

Dynamics Simulations

The paper describes a multi-domain simulation of a gerotor oil pump. Three different analysis tools have been used in synergy to predict the pump flow rate, in both conditions of complete and incomplete filling, and the pressure ripple. The computational fluid dynamics software PumpLinx® has been used for the determination of the discharge coefficients, while a finite element model analysis performed with ANSYS® has allowed the evaluation of the deflection of the pump cover under the action of the delivery pressure. The data calculated with the 3D tools have been utilized as input for a lumped parameter model of the pump developed in LMS Amesim® with customized libraries. The aim of the study is to supply the guidelines for tuning the models using a reduced number of computational fluid dynamics simulations. The results collected in the experimental campaign have demonstrated that a lumped parameter approach can be suitable, if properly calibrated, to predict the pressure oscillations in conditions of defective filling. Moreover, it was found that the cover deflection has a significant importance not only on the leakages, but also on the pressure ripple.

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