Two-phase bubbly flow simulation using CFD method: A review of models for interfacial forces

Khan, Irfan; Wang, Mingjun; Zhang, Yapei; Tian, Wenxi; Su, Guanghui; Qiu, Suizheng

doi:10.1016/j.pnucene.2020.103360

Cited by 108 publications

(24 citation statements)

References 111 publications

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“…Interfacial momentum exchange between continuous and dispersed phases is very important in understanding the physics of multiphase flows, in particular, for the gas-liquid two-phase flows, where the gas-liquid interface deforms in a complex manner and the mutual interaction between the phases are correlated [1][2][3][4][5][6][7][8][9][10] . Since the interfacial forces (e.g., drag, lift, added mass and basset history forces) acting on the rising bubbles in a liquid flow [11][12][13] and the bubbleinduced agitation (pseudo-turbulence) to the liquid flow [5,8,[14][15][16][17][18][19] are strongly determined by the bubble velocity (motion) relative to the liquid-phase, it is critical to have the detailed information of bubble velocities. To cope with this, the image-based velocimetry techniques (e.g., two-phase particle image velocimetry and shadowgraphy) to obtain the gas-phase statistics have been proposed widely.…”

Section: Introductionmentioning

confidence: 99%

Bubble velocimetry using the conventional and CNN-based optical flow algorithms

Park

Choi

2022

Preprint

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In the present study, we introduce new bubble velocimetry methods based on the optical flow, which were validated (compared) with the conventional particle tracking velocimetry (PTV) for various gas-liquid two-phase flows. For the optical flow algorithms, the convolutional neural network (CNN)-based models as well as the original schemes like the Lucas-Kanade and Farnebäck methods are considered. In particular, the CNN-based method was retrained (fine-tuned) using the synthetic bubble images produced by varying the density, diameter, and velocity distribution. While all models accurately measured the unsteady velocities of a single bubble rising with a lateral oscillation, the pre-trained CNN-based method showed the discrepancy in the averaged velocities in both directions for the dilute bubble plume. In terms of the fluctuating velocity components, the fine-tuned CNN-based model produced the closest results to that from PTV, while the conventional optical flow methods under-or overestimated them owing to the intensity assumption. When the void fraction increases much higher (e.g., over 10%) in the bubble plume, the PTV failed to evaluate the bubble velocities because of the overlapped bubble images and significant bubble deformation, which is clearly overcome by the optical flow bubble velocimetry. This is quite encouraging in experimentally investigating the gas-liquid two-phase flows of a high void fraction. Furthermore, the fine-tuned CNN-based model captures the individual motion of overlapped bubbles most faithfully while saving the computing time, compared to the Farnebäck method.

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Section: Introductionmentioning

confidence: 99%

Bubble velocimetry using the conventional and CNN-based optical flow algorithms

Park

Choi

2022

Preprint

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“…It is difficult to capture the local characteristics of two-phase flow accurately by experimental methods. In recent years, CFD method is widely used in two-phase flow (Chen et al, 2019;Khan et al, 2020;Wang et al, 2021). However, there are no recognized models that can be widely used in various conditions.…”

Section: Introductionmentioning

confidence: 99%

Study on Flow Boiling Characteristics in Rectangle Channel After Formation of Blisters

et al. 2021

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Plate-type fuel elements is one of the first fuel structure choice for the novel integrated PWR, however, blisters will appear on the cladding induced by irradiation and fission. In this work CFD method was used to investigate the subcooled boiling characteristic of the water in rectangle channel with round and pillow blisters, the modified RPI model was also proposed, we can draw conclusions as follows: In the channel with round blister, as the blisters will increase the local flow resistance and more fluid will flow through center of the channel. Boiling occurred only in the area near the edges, nearly no vapor appeared at the center of the channel. The boiling region in channel with pillow shape blisters is wider and concentrated between two pillow blisters and downstream of the non-blisters side. The dry out area are both in the downstream region of blisters for the two types of channels.

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“…A significant number of studies using numerical models of bubbly flow in vertical pipes have also been carried out. Khan et al [22] provide an excellent overview of CFD modelling of bubbly flow and a summary of the many possible closure relations available for the interfacial forces. Khan et al listed 21 possible drag force relations, 18 possible lift force relations, 9 possible wall lubrication relations, 8 possible turbulence dispersion relations, and 13 possible virtual mass relations.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Closure Relations for CFD Modelling of Bubbly Flow in a Vertical Pipe

Gray¹,

Ormiston²

2021

OJFD

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Commercial code CFX was used to examine the performance of a two-fluid model to predict the details of upward isothermal bubbly flow of air and water in a vertical pipe. The model equations are volume-averaged Navier-Stokes equations that require closure models for interfacial forces and bubble-induced turbulence effects. Two-equation SST and k-epsilon RANS turbulence models were also used. A parametric study of closure models included both standard options in CFX and previously published novel closure models that were implemented with user-defined functions. The CFD simulations were compared with two cases from the MTLoop experiments by Lucas et al. at the Helmholtz-Zentrum Dresden Rossendorf: one with wall-peak void fraction profile (MT039), and another with a core-peak void fraction profile (MT118). The effect of changing the drag force closures was not significant for the set examined. Poor predictions were found when the lift force and wall lubrication models were incompatible in magnitude. There was no significant effect of changing the liquid phase turbulence model. Changing the bubble-induced turbulence models, however, had a significant impact on the radial void fraction profile. The novel wall force from Lubchenko et al. at the Massachusetts Institute of Technology significantly improved the prediction of the near wall void fraction in the wall peak profile.

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Two-phase bubbly flow simulation using CFD method: A review of models for interfacial forces

Cited by 108 publications

References 111 publications

Bubble velocimetry using the conventional and CNN-based optical flow algorithms

Bubble velocimetry using the conventional and CNN-based optical flow algorithms

Study on Flow Boiling Characteristics in Rectangle Channel After Formation of Blisters

A Comparative Study of Closure Relations for CFD Modelling of Bubbly Flow in a Vertical Pipe

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