Investigating the advantages and disadvantages of realistic approach and porous approach for closely packed pebbles in CFD simulation

Wu, Chengzhi; Ferng, Yuh-Ming; Chieng, Ching-Chang; Liu, C.C.

doi:10.1016/j.nucengdes.2010.01.015

Cited by 59 publications

(32 citation statements)

References 12 publications

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“…They investigated the transition flow in the packed beds of spheres with different particle sizes experimentally. Wu and Ferng (2010) and Nijemeisland and Dixon (2004) used two main methods in CFD approach to create the geometry for a closely packed bed: the porous medium approach and the realistic discrete particle approach. In a porous media approach, the geometry of a packed bed is represented as an effective porous medium.…”

Section: Introductionmentioning

confidence: 99%

Prediction of cross flow mixing in the structured packed bed through CFD simulation using (FBM and PMM) and validation with experiments

Alkhalaf

Specht

2016

Engineering Applications of Computational Fluid Mechanics

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This study focuses on prediction of cross flow mixing in structured bed by using O 2 molar concentration through CFD simulation. The mixing of the axial flow with cross flow in structured bed have been studied experimentally in a test box. The test box containing a 924 spherical particles of 52 mm diameter were arranged to achieve the simple cubic configuration which leads to a porosity of 0.48. Three-dimensional computational fluid dynamics (CFD) simulations have been carried out corresponding to the experimental setup. ANSYS 14 was used for CFD simulation with standard kturbulence model. Fixed bed model (FBM) and porous media model (PMM) are used in this numerical work. Three different methods of contact point treatment are considered to obtain results using FBM. Moreover, results obtained through FBM (gap method) and PMM were also compared. Cross flow mixing takes place between N 2 entering via side injection and air entering at the bottom of the test box. Parametric variables are; lance diameter, lance position, and volume flow rate ratio. It is shown that results of CFD simulations using FBM can predict the cross flow mixing reasonably. The curves for O 2 concentration obtained through PMM are shifted little bit away from curves of FBM. It is also interesting to note that results of FBM with gap method fit best with the experimentally data. Highlights• CFD simulation and experiments were conducted for a simple cube packed bed.• Mixing flows were simulated using the standard kturbulence model at fixed bed model (FBM) and porous media model (PMM).• Results obtained from the gap method are fitted best with the experimental data.• The lance penetration depth has an influence on the O 2 concentration in the bed.• O 2 concentration curve for PMM are shifting from that for FBM with a porosity of 0.48.

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Section: Introductionmentioning

confidence: 99%

Prediction of cross flow mixing in the structured packed bed through CFD simulation using (FBM and PMM) and validation with experiments

Alkhalaf

Specht

2016

Engineering Applications of Computational Fluid Mechanics

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“…Jiang and Lu (2006) used water as a fluid to simulate the packed bed which is equipped with wall heating and obtained convective heat transfer coefficients at different flow rates and different particle diameters; Dixon et al (2011) systematically studied the meshing method suitable for three-dimensional numerical simulation from the perspective of pore scale of particles. Wu et al (2010) compared the advantages and disadvantages of the porous medium hypothesis method and the pore space simulation method, and expounded the necessity of pore-scale simulation. Ahamed and Loganathan (2017) most of the relevant studies on the packed bed choose to heat from the peripheral wall and add the chemical reaction energy source to the particles.…”

Section: Halaju Bekalan Udara Adalah Faktor Penting Yang Mempengaruhimentioning

confidence: 99%

Influence of Air Supply Velocity on Temperature Field in the Self Heating Process of Coal

Song¹,

Wang²,

Liang³

et al. 2017

JSM

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“…Also the two equation k-ε model is used to model turbulence. Porous media model is used to simulate the pressure drop in the reactor core [14][15][16][17][18]. Empirical pressure drop correlations for the packed beds are used [19] for the porous media model.…”

Section: Transient Pressures In Reactor Core Flow Passagesmentioning

confidence: 99%

Transient pressure analysis for the reactor core and containment of a HTGR after a primary loop pressure boundary break accident

Shi

et al. 2011

Chin. Sci. Bull.

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The pressure variances in the reactor core and containment of a High Temperature Gas-cooled Reactor (HTGR) after a primary loop pressure boundary break accident determine the structural integrity and safety of the reactor. Based on mass conservation, energy conservation and state equations, explicit formulae for the transient pressure and temperature variances in the pressure vessels were deduced, and a set of differential equations for the transient pressure and temperature variances in the containment were developed. Numerical simulation was also conducted to investigate the transient pressure and temperature variances in the pressure vessels and containment. The results show that energy transformation due to expansion work cannot be neglected. The maximum pressure in the containment could increase by 40 percent due to blockage caused by air in the containment. Detailed numerical simulations of the transient pressure and temperature variance in the reactor core flow passages were also conducted. The results show that the pressures acting on the reactor core and containment are below acceptable values. transient pressure, theoretical analysis, numerical simulation, high temperature gas-cooled reactor, porous media, containment Citation:Li X W, Li X T, Shi L, et al. Transient pressure analysis for the reactor core and containment of a HTGR after a primary loop pressure boundary break accident.

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Investigating the advantages and disadvantages of realistic approach and porous approach for closely packed pebbles in CFD simulation

Cited by 59 publications

References 12 publications

Prediction of cross flow mixing in the structured packed bed through CFD simulation using (FBM and PMM) and validation with experiments

Prediction of cross flow mixing in the structured packed bed through CFD simulation using (FBM and PMM) and validation with experiments

Influence of Air Supply Velocity on Temperature Field in the Self Heating Process of Coal

Transient pressure analysis for the reactor core and containment of a HTGR after a primary loop pressure boundary break accident

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