Evaluation of mixing of a secondary solid phase in a circulating fluidized bed riser

Nikku, Markku; Myöhänen, Kari; Ritvanen, Jouni; Hyppänen, Timo

doi:10.1016/j.ces.2023.118503

Cited by 3 publications

(5 citation statements)

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“…The original research article [1] contains a detailed description of the simulation setup, section 2.3 and appendix 1, which can be followed to set up similar simulations in Ansys Fluent or similar software containing the capability to model multiphase flows with the kinetic theory of granular flows.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“… Type of data Data file How the data were acquired Parallel processing on a Linux high-performance computing cluster using Ansys Fluent 19.2 was applied in transient Eulerian multiphase simulations with the geometry, mesh, and models described by Nikku et al. [1] . Pressure, velocity components, and volume fraction information of each phase (gas, bed material, and secondary solid phase) was exported for the whole geometry every 50 ms for each case.…”

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confidence: 99%

“…Superficial fluidization velocity of air was 3.75 m/s, with density of 1.2 kg/m³ to present ambient conditions. To obtain a representative average for each case, it was found that 10 cases can be averaged [1] , by taking an arithmetic average over 10 cases for each of the exported time steps for each individual computational cell. The averaging process was performed using Matlab R2019a on a desktop computer.…”

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confidence: 99%

“…The averaged data was written to a new data file for each time step (included in the data). Data source location • Institution: LUT University • City/Town/Region: Lappeenranta • Country: Finland • Latitude and longitude: 61.06599431210321, 28.094889464096088 Data accessibility Repository name: Mendeley Data Data identification numbers: base cases - part 1: DOI: 10.17632/n99mtzx33n.1 density cases - part 2: DOI: 10.17632/dd9hy74wsx.1 size cases - part 3: DOI: 10.17632/cggxvfxc49.1 velocity cases - part 4: DOI: 10.17632/cvnn9mb5b5.1 Direct URLs to data: part 1: https://data.mendeley.com/datasets/n99mtzx33n/1 part 2: https://data.mendeley.com/datasets/dd9hy74wsx/1 part 3: https://data.mendeley.com/datasets/cggxvfxc49/1 part 4: https://data.mendeley.com/datasets/cvnn9mb5b5/1 Related research article [1] Nikku, Markku; Myöhänen, Kari; Ritvanen, Jouni; Hyppänen, Timo (2023), Evaluation of mixing of a secondary solid phase in a circulating fluidized bed riser, Chemical Engineering Science 269, article 118503. …”

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Computational fluid dynamics derived dataset for evaluation of mixing of a secondary solid phase in a circulating fluidized bed riser

et al. 2023

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

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Computational fluid dynamics derived dataset for evaluation of mixing of a secondary solid phase in a circulating fluidized bed riser

et al. 2023

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“…Among these two coupling methods, Yu's research group tended to insist that the first coupling relationship be able to more reasonably reflect the true bidirectional strong coupling relationship between particles and fluid [9,11,12]. In recent two years, most CFD-DEM simulations [13][14][15][16][17][18][19] published in the renowned journal, Chem. Eng.…”

Section: Introductionmentioning

confidence: 99%

Decoupling Interaction for CFD-DEM Simulations of Bubbling Fluidized Bed

Li,

Wang,

2024

Preprint

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The discrete element method (DEM) coupled with computational dynamics (CFD) has been considered one of the most sensitive ways of studying fluidized beds. This paper presents gas-solid fluidized bed simulations by use of CFD-DEM. The two-phase interaction is calculated in a way of decoupling. Within the effective neighborhood of the particles, the kernel approximation method is used to calculate the local porosity, thereby calculating the drag force on the particles. At the grid scale, the momentum exchange coefficient is calculated using a two fluid model based method, thereby calculating the source term of the phase interaction in the fluid control equation. The simulated form, size and motion process of the big bubble are all consistent with experimental observations. The simulated solid volume fraction and relative pressure averaged in a horizontal plane at 45 mm above the bottom are in reasonable agreement with the experimental data. The fluctuation of the simulated bed height over time is similar to the experimental measurement results. The reproduction of these qualitative and quantitative results indicates that the proposed method effectively improves simulation performance and accuracy.

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Experimental and CFD Analysis of Hydrodynamics in Dual-Impeller Crystallizer at Different Off-Bottom Clearances

Čelan,

Ćosić,

Penga

et al. 2024

Processes

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Producing tailor-made crystals demands knowledge of the influence of hydrodynamics and nucleation kinetics. In this paper, the hydrodynamic conditions in a dual-impeller crystallizer and their influence on the key nucleation parameters of the batch cooling crystallization of borax at different impeller off-bottom clearances were investigated. Two different impeller configurations were used—a dual pitched-blade turbine (2 PBT) and a dual straight-blade turbine (2 SBT). Hydrodynamics was analyzed in depth based on the developed computational fluid dynamics model. The experimental results on mixing time and power input were used to validate the numerical model. The results show that the properties of the final product are affected by the impeller position in both dual-impeller configurations. An increase in the impeller off-bottom clearance in both systems results in a decrease in the mean crystal size. The hydrodynamic conditions generated at C/D = 1 in the 2 PBT impeller system and at C/D = 0.6 in the 2 SBT impeller system favored an earlier onset of nucleation compared to other impeller positions. It was found that the eddy dissipation rate and the Kolmogorov length scale correlate highly with the mean crystal size, suggesting that the size is affected by the shear stress in the vessel, rather than the overall convective flow.

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Evaluation of mixing of a secondary solid phase in a circulating fluidized bed riser

Cited by 3 publications

References 42 publications

Computational fluid dynamics derived dataset for evaluation of mixing of a secondary solid phase in a circulating fluidized bed riser

Computational fluid dynamics derived dataset for evaluation of mixing of a secondary solid phase in a circulating fluidized bed riser

Decoupling Interaction for CFD-DEM Simulations of Bubbling Fluidized Bed

Experimental and CFD Analysis of Hydrodynamics in Dual-Impeller Crystallizer at Different Off-Bottom Clearances

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