Eulerian-Eulerian modelling of particle-laden two-phase flow

Kartushinsky, Alexander; Tisler, S.; Oliveira, J.L.G.; Geld, C.W.M. van der

doi:10.1016/j.powtec.2016.07.053

Cited by 16 publications

(4 citation statements)

References 49 publications

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“…The gradient was calculated using least squares cell based method (Patankar 1980). A first order upwind scheme is used to solve the momentum and turbulence equations (Kartushinsky 2016;Li et al 2009Li et al , 2016. The pressure and momentum under relaxation factors are set as 0.7.…”

Section: Numerical Methodologymentioning

confidence: 99%

Computational fluid dynamics simulation of an Inert Particles Spouted Bed Reactor (IPSBR) system

Mohammad

Mourad

Mustafa

et al. 2020

International Journal of Chemical Reactor Engineering

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AbstractA novel system for contacting gases and liquids, suitable for many applications involving gas–liquid contact such as CO2 capture and brine desalination, has been simulated and experimentally validated. The system comprises a vertical vessel with gas and liquid ports and inert particles that enhance mixing and provide a high gas–liquid interfacial area. A low gas flow rate was statistically demonstrated and experimentally verified to be the optimum condition for CO2 capture and brine desalination; however, the gas velocity can have a considerable effect on the motion of inert particles inside the reactor. Uniform particles motion ensures good mixing within the reactor and hence efficient absorption and stripping process. A computational fluid dynamics (CFD) model, namely Eulerian model, presented in this paper, will help demonstrate the effect of mixing particles at specific conditions on the gas and liquid velocities inside the reactor, gas and liquid volume distribution through reactor, and eddy viscosities stresses of the mixing particles. A mesh-independent study was conducted to demonstrate the independency of mesh structure and size on the output responses. A quasi-steady state was attained to ensure the stability and feasibility of the selected model. The assembled model exhibits remarkable applicability in determining the optimum mixing particles densities, volume ratios, and sizes to ensure best velocity distribution and gas spreading inside the reactor and accordingly enhance the associated chemical reactions.

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Section: Numerical Methodologymentioning

confidence: 99%

Computational fluid dynamics simulation of an Inert Particles Spouted Bed Reactor (IPSBR) system

Mohammad

Mourad

Mustafa

et al. 2020

International Journal of Chemical Reactor Engineering

View full text Add to dashboard Cite

show abstract

“…The least-squares cell-based method [ 5 , 24 ] was used to calculate the gradient. Momentum and turbulence equations were solved by a first-order upwind scheme [ 5 , 25 , 26 , 27 ]. The under-relaxation factors for pressure and momentum were set as 0.7.…”

Section: Cfd Simulationmentioning

confidence: 99%

CFD and statistical approach to optimize the average air velocity and air volume fraction in an inert-particles spouted-bed reactor (IPSBR) system

Mohammad

Mourad

Al‐Marzouqi

et al. 2021

Heliyon

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Inert-particles spouted bed reactor (IPSBR) is characterized by intense mixing generated by the circular motion of the inert particles. The operating parameters play an important role in the performance of the IPSBR system, and therefore, parameter optimization is critical for the design and scale-up of this gas–liquid contact system. Computational fluid dynamics (CFD) provides detailed modeling of the system hydrodynamics, enabling the determination of the operating conditions that optimize the performance of this contact system. The present work optimizes the main IPSBR operating parameters, which include a feed-gas velocity in the range 0.5–1.5 m/s, orifice diameter in the range 0.001–0.005 m, gas head in the range 0.15–0.35 m, mixing-particle diameter in the range 0.009–0.0225 m, and mixing-particle to reactor volume fraction in the range 2.0–10.0 vol % (which represents 0.01–0.1 kg of mixing particles loading). The effects of these parameters on the average air velocity and average air volume fraction in the upper, middle, and conical regions of the reactor were studied. The specific distance for each region has been measured from the orifice point to be 50 mm for the conical region, 350 mm for the middle region and 550 mm for the upper rejoin. The selected factors were optimized to obtain the minimum air velocity distribution (maximum gas residence time) and the maximum air volume fraction (maximum interfacial area concentration) because these conditions will increase the gas holdup, the gas–liquid contact area, and the mass transfer coefficient among phases. Response surface methodology (RSM) was used to determine the optimum operating conditions. The regression analysis showed an excellent fit of the experimental data to a second-order polynomial model. The interaction between the process variables was evaluated using the obtained three-dimensional surface plots. The analysis revealed that under the optimized parameters of a feed-gas velocity of 1.5 m/s, orifice diameter of 0.001 m, gas head of 0.164 m, mixing-particle diameter of 0.0225 m, and mixing-particle loading of 0.02 kg, the minimum average air velocity and highest air volume fraction were observed throughout the reactor.

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“…The mesh is defined for each particle-velocity variation and all process mechanisms of particle-turbulence and particle-particle interactions. The transport equations are written in terms of various velocity correlations, which may consider either the fluid turbulence augmentation or attenuation caused by the presence of the particles [10,11,[20][21][22]. Zaichik [7] introduced a new PDF approach and they used Boussinesq approximation for the particulate motion equations and algebraic expressions for particle-phase turbulent viscosity and diffusion coefficients.…”

Section: Introductionmentioning

confidence: 99%

Eulerian–Eulerian RSTM-PDF Modeling of Turbulent Particulate Flow

et al. 2023

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A novel 3D computational model was developed for the turbulent particulate two-phase flow simulation in the rectangular channel. The model is based on the Eulerian approach applied to 3D Reynolds-averaged Navier–Stokes modeling and statistical Probability Distribution Function method. The uniqueness of the method lies in the direct calculation of normal and transverse components of the Reynolds stresses for both gas and particles. Two cases were examined: a conventional channel flow and grid-generated turbulence flow. The obtained numerical results have been verified and validated by the experimental data, received from the turbulent particle dispersion test. The computed values of the particles’ turbulent dispersion and the maximum value of the particulate concentration distribution show good agreement with the experimental results. The examples are ranged from coal and other bulk material pneumatic transport, vertical fluidized beds, coal gasifiers, and chemical reactors.

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Eulerian-Eulerian modelling of particle-laden two-phase flow

Cited by 16 publications

References 49 publications

Computational fluid dynamics simulation of an Inert Particles Spouted Bed Reactor (IPSBR) system

Computational fluid dynamics simulation of an Inert Particles Spouted Bed Reactor (IPSBR) system

CFD and statistical approach to optimize the average air velocity and air volume fraction in an inert-particles spouted-bed reactor (IPSBR) system

Eulerian–Eulerian RSTM-PDF Modeling of Turbulent Particulate Flow

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