Comparison of the standard Euler–Euler and hybrid Euler–Lagrange approaches for modeling particle transport in a pilot-scale circulating fluidized bed

Adamczyk, Wojciech; Klimanek, Adam; Białecki, Ryszard A.; Węcel, Gabriel; Kozołub, Paweł; Czakiert, Tomasz

doi:10.1016/j.partic.2013.06.008

Cited by 67 publications

(52 citation statements)

References 14 publications

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“…A viscosidade da partículas foi calculada pela Teoria Cinética Granular, as correlações foram descritas na Tabela 1. O valor do coeficiente de restituição partícula-partícula foi igual a 0,9 como utilizado por [2,3,6,7,8].…”

Section: Cfd Modelingunclassified

“…Duas diferentes abordagens podem ser utilizadas para a modelagem de escoamentos multifásicos (neste trabalho o escoamento gás-sólido) em CFD: modelo Lagrangeano (método discreto baseado na mecânica do continuo) [2] e o modelo Euleriano (baseado na hipótese de que as partículas são tratadas como um continuo e que as partículas apresentam propriedades similares as propriedades dos fluidos) [3].…”

Section: Introductionunclassified

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Escolha do modelo de turbulência para um leito fluidizado

et al. 2015

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O leito fluidizado proporciona um excelente contato gás-sólido e elevadas taxas de transferência de calor e massa. A fim de otimizar os processos nas últimas décadas, intensificaram-se o uso de técnicas computacionais como a Fluidodinâmica Computacional, CFD, que resolve as equações de conservação através da discretização, no método dos volumes finitos. Nas simulações foram utilizadas o pacote comercial ANSYS FLUENT 15.0 e sistema de simulação contendo ar e areia. O teste de Modelo foi realizado para identificar o modelo de turbulência mais adequado para as simulações (k-ε ou SST). A geometria foi construída em 2D e foi realizado um teste de malha, para verificar se a malha influenciava nos resultados. A interação entre as fases foi determinada pela equação Syamlal-O'Brien e o valor do coeficiente de restituição partícula-partícula de 0,9. A viscosidade das partículas foi calculada pela Teoria Cinética Granular. A velocidade de entrada do ar foi de 0,38 ms -1 . Através da análise de expansão do leito e da queda de pressão optou-se por utilizar o Modelo k-ε nas simulações seguintes, porque apresentou resultados concordantes com menor esforço computacional, em comparação com o modelo k-ω. A malha três foi escolhida.Palavras-chave: Fluidização, gaseificação, CFD, hidrodinâmicaThe fluidized bed provide an excellent gas-solid contact and high rate of heat and mass transfer. In order to optimize the processes in recent decades intensified the use of computational techniques such as Computational Fluid Dynamics, CFD, that solves the equations of conservation through the discretization of the finite volume method. In the simulations of the computational system, package ANSYS FLUENT 15.0 and simulation system involving air and sand. Model test was performed to identify the most appropriate turbulence model to simulate (k-e or SST). The geometry 2D was constructed and conducted a mesh test, to see if the mesh influenced the results. The interaction between the phases was determined by the equation Syamlal-O'brien and the value of the coefficient of restitution particle-particle was equal to 0.9. The viscosity of the particles was calculated by Kinetic Theory Granular. The inlet velocity of the air it was 0.38 ms -1 . Through the analysis of charts bed expansion and pressure drop, coupled with analysis of the volume fraction and pressure profiles, it was decided to be used in the following simulations the model k-ε because it has concordant results with less computational effort, compared with the model k-ω. The mesh three was chosen.

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Section: Cfd Modelingunclassified

Section: Introductionunclassified

Escolha do modelo de turbulência para um leito fluidizado

et al. 2015

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“…To reduce the computational time, the complete CFB geometry was reduced to combustion chamber, injection ports, and part of the recirculation section. The impact of model simplifications on the final results was discussed in previous works where particle transport was modeled in the pilot CFB facility for isothermal conditions [14]. Used geometry with defined boundary conditions is shown in Fig.…”

Section: Pilot Cfb Test Rigmentioning

confidence: 99%

“…The main advantage of the EulerianeLagrangian approach is that the computational time can be reduced when compared to the multifuel approach, and the PSD is accounted for in a natural way, since the particles are tracked directly. In the work [14] an application of the DDPM approach for modeling the particle transport within the pilot CFB test rig under isothermal conditions is presented.…”

Section: Numerical Modelmentioning

confidence: 99%

Modeling oxy-fuel combustion in a 3D circulating fluidized bed using the hybrid Euler–Lagrange approach

Adamczyk

Kozołub

Węcel

et al. 2014

Applied Thermal Engineering

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“…Backfilling ultrafine particle distribution characteristics were imported into the initial parameters of backfilling transportation using the Rosin-Rammler particle size distribution function. The model was established based on the kinetic theory of granular flow (KTGF) [10,11], considering the interactions between dispersed phase particles. The interphase drag model was refined by user-defined functions during the process of calculation.…”

Section: Introductionmentioning

confidence: 99%

Particle Flow Characteristics and Transportation Optimization of Superfine Unclassified Backfilling

Zhou

Gao

2017

Minerals

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Abstract:In order to investigate the high volume fraction problem of the solid phase in superfine unclassified backfilling pipeline transportation, characteristic parameters were obtained by fitting to test data with an R-R particle size distribution function; then, a Euler dense-phase DPM (Discrete phase model) model was established by applying solid-liquid two-phase flow theory and the kinetic theory of granular flow (KTGF). The collision and friction of particles were imported by the UDF (User-define function) function, and the pipeline fluidization system, dominated by interphase drag forces, was analyzed. The best concentration and flow rate were finally obtained by comparing the results of the stress conditions, flow field characteristics, and the discrete phase distributions. It is revealed that reducing the concentration and flow rate could control pressure loss and pipe damage to a certain degree, while lower parameters show negative effects on the transportation integrity and backfilling strength. Indoor tests and field industrial tests verify the reliability of the results of the numerical simulations. Research shows that the model optimization method is versatile and practical for other, similar, complex flow field working conditions.

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Comparison of the standard Euler–Euler and hybrid Euler–Lagrange approaches for modeling particle transport in a pilot-scale circulating fluidized bed

Cited by 67 publications

References 14 publications

Escolha do modelo de turbulência para um leito fluidizado

Escolha do modelo de turbulência para um leito fluidizado

Modeling oxy-fuel combustion in a 3D circulating fluidized bed using the hybrid Euler–Lagrange approach

Particle Flow Characteristics and Transportation Optimization of Superfine Unclassified Backfilling

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