applicability of a coarse-grained cfd dem model on

Application of a coupled smoothed particle hydrodynamics

Application of a coupled smoothed particle hydrodynamics (SPH) and coarse-grained (CG) numerical modelling approach to study three-dimensional (3-D) deformations of single cells of different food-plant materials during drying C. M

A process scaling approach for CFD

View 1 peer review of A process scaling approach for CFD-DEM modelling of thermochemical behaviours in moving bed reactors on Publons Download Web of Science™ My Research Assistant : Bring the power of the Web of Science to your mobile device, wherever inspiration strikes.

Influences of operating parameters on the fluidized bed

In the present study, a comprehensive coarse-grained computational fluid dynamics and discrete element method (CFD-DEM) is developed for modeling the fluidized bed gasifier. Based on the model validations against experimental measurements, a series of simulations are conducted to investigate the effects of different operating parameters on the coal gasification in a bubbling fluidized bed

Theories and Applications of CFD–DEM Coupling

2021/4/12Bio-particulate matter includes grains, cereal crops, and biomass that are considered discrete materials with irregular size and shape. Although the flow of these particles can behave like a continuum fluid at times, their discontinuous behavior cannot be simulated with traditional continuum-based modeling. The Discrete Element Method (DEM), coupled with Computational Fluid Dynamics (CFD),

CFD Simulation and Optimization of Mixing Behaviors in a

investigated the influence of bed geometry on the gas−solid flow behavior of slot-rectangular spouted beds by the CFD− DEM. A modified DEM was used by Takabatake et al.26 to simulate the effectiveness of the coarse-grain model in solid mixing in a spouted bed.

Rocky is unmatched for ANSYS CFD integration and fiber

Rocky DEM's new release expands its range of multiphysics particle-dynamics simulation with improved integration features and new models. Version 4.3 offers increased ANSYS CFD–Rocky DEM integration capabilities, embedded advanced CGM (coarse grain model), liquid film and liquid bridge representation, and improvements in the fiber model, such as plastic deformation and discrete particle

Comparison between two Eulerian

This paper compares the two Eulerian-Lagrangian methods, computational fluid dynamics–discrete element method (CFD-DEM) and multiphase particle-in-cell (MPPIC), in simulating the biomass gasification in the fluidized bed. A series of reactions, including the drying, pyrolysis, and homogeneous and heterogeneous reactions, are implemented. The composition of the product gases is predicted

A coarse

2019/4/19Nevertheless, the coarse-grained (CG)-RBC membrane model is developed on BCM approach and demonstrates the potential of BCM approach to accurately predict SDE transformation. The studies by Lim et al. [ 19, 28, 49 ], and Khairy and Howard [ 31, 33 ] have used a continuum numerical approach based on ADE model to predict different stages of stomatocytes and echinocytes of SDE

C. Grohs*, N. Reinfried*, A. Plankensteiner*

simulation are coarse grained with a factor of 150 leading to a simulation model with about 79000 individual particles. DEM-specific material parameters like cohesion, (rolling) friction or restitution are taken from DEM simulations of powder rheometer experiments

(732a) Coarse

To avoid this, in the KTGF framework, sub-grid or filtering models like the EMMS-drag model can be used. However, this increases the complexity of the model by adding several unknown closures. A promising DEM framework-based approach is the so-called Coarse-Grained DEM (CG-DEM).

Rocky is unmatched for ANSYS CFD integration and fiber

Rocky DEM's new release expands its range of multiphysics particle-dynamics simulation with improved integration features and new models. Version 4.3 offers increased ANSYS CFD–Rocky DEM integration capabilities, embedded advanced CGM (coarse grain model), liquid film and liquid bridge representation, and improvements in the fiber model, such as plastic deformation and discrete particle

DAC Student Spotlight: Nikhil Muralidhar

2020/4/1"Coarse grained simulations involve many approximations and abstractions of the underlying physics leading to a degradation of simulation accuracy," Muralidhar said. "The goal in my research has been to incorporate machine learning models accompanied with the known physics governing a particular CFD process to improve the overall accuracy of the various facets of coarse grained CFD

A process scaling approach for CFD

View 1 peer review of A process scaling approach for CFD-DEM modelling of thermochemical behaviours in moving bed reactors on Publons Download Web of Science™ My Research Assistant : Bring the power of the Web of Science to your mobile device, wherever inspiration strikes.

Application of a coupled smoothed particle hydrodynamics

Application of a coupled smoothed particle hydrodynamics (SPH) and coarse-grained (CG) numerical modelling approach to study three-dimensional (3-D) deformations of single cells of different food-plant materials during drying C. M

DEM Training for Liggghts Engineerdo

DEM Training for Liggghts The training is helt in a Online-Webinar consisting of three modules. The training content will include a fundamental understanding of the DEM and the necessary steps required to perform physical correct simulations. The training will cover the complete workflow of a simulation project as well as the state of the art bulk material calibration. The DEM Training will be

Applicability Analysis of Validation Evidence for

In this paper, we present a novel framework for performing applicability analysis and demonstrate its use with a medical device computational model. The framework provides a systematic, step-by-step method for breaking down the broad question of applicability into a series of focused questions, which may be addressed using supporting evidence and subject matter expertise.

[1705.03850] Adaptive coarse

2017/5/10The large time and length scales and, not least, the vast number of particles involved in industrial-scale simulations inflate the computational costs of the Discrete Element Method (DEM) excessively. Coarse grain models can help to lower the computational demands significantly. However, for effects that intrinsically depend on particle size, coarse grain models fail to correctly predict the

Rocky is unmatched for ANSYS CFD integration and fiber

Rocky DEM's new release expands its range of multiphysics particle-dynamics simulation with improved integration features and new models. Version 4.3 offers increased ANSYS CFD–Rocky DEM integration capabilities, embedded advanced CGM (coarse grain model), liquid film and liquid bridge representation, and improvements in the fiber model, such as plastic deformation and discrete particle

Application of an Efficient Discrete Particle Model to Simulate an

Solutions for Today | Options for Tomorrow Application of an Efficient Discrete Particle Model to Simulate an Industrial FCC Regenerator 2 1. General Introduction of Discrete Particle Models 2. Coarse Grained Hard Sphere (CGHS) 3. Verification and Validation of

Numerical Simulation of a Bubbling Fluidized Bed by the

The coarse grain represents a group of the original particles so that a large-scale DEM simulation can be performed by using extremely small number of the calculated particles. In our previous studies, the coarse grain model was used in not only gas-solid flow simulations like a pneumatic conveying system but also a fundamental study of solid liquid flows.

Numerical investigation of the interaction between a

A two-dimensional numerical simulation of the interaction between a shock wave and a particle cloud curtain (PCC) in a shock tube was conducted to develop the numerical method and to understand how the particle layer mitigates the shock wave. In the present study, computational fluid dynamics/the discrete element method in conjunction with drag force and convective heat transfer models were

CFD

2021/3/3Learn how CFD-DEM coupling expands the range of granular-fluid systems that can be simulated quickly and effectively. Flexible hair strands in a cyclonic vacuum cleaner In this simulation performed by BISSELL, a large number of hair strands are modeled using Rocky's flexible fiber particles and the one-way coupling with Fluent.

CFD

2021/3/3Learn how CFD-DEM coupling expands the range of granular-fluid systems that can be simulated quickly and effectively. Flexible hair strands in a cyclonic vacuum cleaner In this simulation performed by BISSELL, a large number of hair strands are modeled using Rocky's flexible fiber particles and the one-way coupling with Fluent.

Comparison between two Eulerian

This paper compares the two Eulerian-Lagrangian methods, computational fluid dynamics–discrete element method (CFD-DEM) and multiphase particle-in-cell (MPPIC), in simulating the biomass gasification in the fluidized bed. A series of reactions, including the drying, pyrolysis, and homogeneous and heterogeneous reactions, are implemented. The composition of the product gases is predicted

Adaptive coarse

To solve this problem we have developed a new technique based on the efficient combination of fine-scale and coarse grain DEM models. The method is designed to capture the details of the granular system in spatially confined sub-regions while keeping the computational benefits of the coarse grain model where a lower resolution is sufficient.

Assessment of different coarse graining strategies to

The heat transfer in a gas-solids fluidized bed is simulated with computational fluid dynamic-discrete element method (CFD-DEM) and coarse grained particle method (CGPM). In CGPM fewer numerical particles and their collisions are tracked by lumping several real particles into a computational parcel.

Improvement of semi

Abstract The semi-resolved CFD-DEM model, proposed in our previous paper (Cheng et al., 2018) for the modelling of seepage-induced fine-particle migration through coarse skeleton in gap-graded soils, is improved through using Gaussian-based weighting function for fine particle-fluid coupling based on locally averaging theory. By doing so, it eliminates the limitation on fine particle-fluid

(2) Zhengquan Li, Kaiwei Chu*, Aibing Yu, Simulation of industrial scale CFB using coarse grained CFD-DEM model, Powder Technology, 2019 (In Press) (3) Zhengquan Li, Jianqun Yu, Zhanrong Feng, Hong Fu*, Lienan Zhang, Xuetong Fei, Simulation and performance analysis of a soybean seed metering device using Discrete Element Method, Sensor Letters, 2013, 11: 1217-1222

Extended CFD–DEM for free‐surface flow with multi‐size

Computational fluid dynamics and discrete element method (CFD–DEM) is extended with the volume of fluid (VOF) method to model free‐surface flows. The fluid is described on coarse CFD grids by solving locally averaged Navier–Stokes equations, and particles are modelled individually in DEM.

DataSpace: Analysis of gas

Based on the DEM and CFD-DEM simulation results, we propose stress models that account for the van der Waals force between particles. Finally, we apply machine learning, specifically neural networks, to obtain a drag model that captures the effects from fine structures and inter-particle cohesion.

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