Void fraction prediction and one-dimensional drift-flux analysis for horizontal two-phase flow in different pipe sizes

Kong, Ran; Zhu, Qingzi; Kim, Seung-Jin; Ishii, Mamoru; Bajorek, Stephen M.; Tien, Kirk; Hoxie, Chris L.

doi:10.1016/j.expthermflusci.2018.08.019

Cited by 18 publications

(5 citation statements)

References 28 publications

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“…It was noteworthy that within a certain operating range, the drift flux model predictions of the 2-D conventional scale channel were in good agreement with the experimental results (Rassame and Hibiki, 2018;Wei et al, 2018). And the empirical correlations of drift flow velocities and distribution parameters for different flow patterns in many drift flow models are available not only for conventional scale vertical channel (Hibiki and Ishii, 2003;Mei et al, 2018) but also for the horizontal flow of small channels (Bhagwat and Ghajar, 2014;Ran et al, 2018;Rassame and Hibiki, 2018). Therefore, based on the experimental data about heat transfer coefficients in the small rectangular channel of plate OTSG obtained by the researchers in our team (Huang, 2018;Huang et al, 2018), the drift flux model is applied to simulating the flow boiling heat transfer coefficients in the small rectangular channel of the plate OTSG in this paper.…”

Section: Introductionsupporting

confidence: 59%

Numerical Simulation of Flow Boiling in Small Channel of Plate OTSG

et al. 2020

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The plate OTSG (once-through steam generator) with channel diameter of 1-3 mm has high volume-power ratio and powerful resistance to high temperature and high pressure. It can well satisfy the needs of high heat transfer performance and good security of integrated pressure vessel in nuclear power. Heat transfer characteristics of flow boiling in the channel have aroused increasing concerns from scholars in this field. In this paper, based on the experimental results achieved by the researcher in our team, the drift flux model is applied to simulate the flow boiling heat transfer coefficients in the rectangular channel with equivalent diameter of 1.7 mm to further explore the flow boiling mechanism in the channel. The drift velocities and the distribution parameters of drift flux model are obtained by the empirical correlations of the horizontal flow. The simulation boundary conditions comply to the experimental conditions, the simulation resolutions are obtained by using STAR-CCM+. The simulation results indicate that the heat transfer coefficients trends along the flow direction are consistent with the trends of the experimental data. The drift velocities and the distribution parameters have little effect on the heat transfer coefficients of the horizontal small channel. When the drift velocity is 0 and the distribution parameter is 1, compared with the experimental data, the heat transfer coefficients in the single-phase liquid convective heat transfer region of the flow at high pressure are well higher, while those in the region that from bobble flow to the slug flow of the flow increase, even though they are still lower in annular flow region. The error between the predicted and the experimental is from −50 to +50%. Similarly, the model predicted heat transfer coefficients during subcooled flow boiling at low pressure are generally lower than experimental data. And the error between the predicted and the experimental is from −60 to +10%.

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Section: Introductionsupporting

confidence: 59%

Numerical Simulation of Flow Boiling in Small Channel of Plate OTSG

et al. 2020

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“…The two‐phase average energy consumption rate for the mixing section in the turbulent–turbulent regime can be estimated as follows [ 10,11,47,48 ] :

{Ed}_{φ} goodbreak= \frac{∆ P_{{italicms}_{φ}} ((), u_{b} \frac{τ}{ε})}{L_{ms} ρ_{φ} ε}

where

u_{b}

is the bulk two‐phase velocity defined as:

u_{b} goodbreak= \frac{ρ_{L} j_{L} + ρ_{G} j_{G}}{ρ_{φ}}

And the two‐phase flow density

ρ_{φ}

is given as:

ρ_{φ} goodbreak= α ρ_{G} goodbreak+ ((), 1 goodbreak- α) ρ_{L}

The void fraction

α

is a pivotal dimensionless parameter, which is required in the calculation of two‐phase mixture density, viscosity, actual phase velocities, and bulk velocity, [ 49–51 ] and is a critical parameter for the design of industrial systems. [ 52 ]…”

Section: Resultsmentioning

confidence: 99%

“…The void fraction α is a pivotal dimensionless parameter, which is required in the calculation of two-phase mixture density, viscosity, actual phase velocities, and bulk velocity, [49][50][51] and is a critical parameter for the design of industrial systems. [52] There are several methods to predict the void fraction parameter: slip ratio methods, [53][54][55] drift flux method, [55][56][57] and wholly empirical correlations.…”

Section: Dissipated Energymentioning

confidence: 99%

Single and two‐phase flows in a horizontal pipe with a Kenics static mixer: Effect of pressure drop on mixing

et al. 2022

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Single and two‐phase flows pressure drops through a Kenics static mixer were investigated, for liquid and gas Reynolds numbers ranging from 8110 < ReL < 18 940 to 1730 < ReG < 8680, respectively. New friction factor correlations were established for single and two‐phase flows, showing better agreement than those available in the literature. Dissipated energy and characteristic time constants were estimated from experimental data. For instance, a dissipated energy with a maximum value of 510 W/kg was calculated in two‐phase flow with the drift‐flux model. The dispersed phase reduced the characteristic mixing times and its influence was more important than the continuous phase for all the characteristic mixing time investigated. Furthermore, the macroscopic characteristic mixing time was shown to be the governing mixing process for almost all gas and liquid flow rates explored.

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“…Gas-liquid two-phase flow is an unavoidable energy flow phenomenon in petrochemical, nuclear and aerospace industries, especially in the petrochemical field involving the extraction, transportation, storage and processing of oil and natural gas [1]. The measurement of the void fraction is a key parameter in the study of two-phase flows, as it is related to the calculation of mass and heat transfer, pressure drop and the design of processes and equipment in the production [2].…”

Section: Introductionmentioning

confidence: 99%

Void fraction measurement based on electromagnetic wave sensor

Zhao¹,

Wang²,

Li³

et al. 2023

Proceedings of the 19th International Flow Measurement Conference 2022 on Flow Measurement - FLOMEKO 2022

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Gas-liquid two-phase flow is an unavoidable energy flow phenomenon in industries, and void fraction measurement is a crucial challenge in the two-phase flow. In the study, the coaxial line phase sensor is designed base on electromagnetic wave transmission principle, by which void fraction of the slug and stratified flow was acquired. The void fraction measured by new coaxial has a well time-domain and Probability Density Functions (PDF) distribution characteristics, four typical models with different physical backgrounds were selected to evaluate the measured values of the sensors. The mean absolute errors (MAPE) were 7.85%, 24.41%, 7.22%, and 15.44% for slug flow, and 12.31%, 6.46%, 12.68%, and 2.95% for stratified flow. The results indicated that the coaxial line phase sensor has well measurement accuracy and not limited by the flow regime.

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Void fraction prediction and one-dimensional drift-flux analysis for horizontal two-phase flow in different pipe sizes

Cited by 18 publications

References 28 publications

Numerical Simulation of Flow Boiling in Small Channel of Plate OTSG

Numerical Simulation of Flow Boiling in Small Channel of Plate OTSG

Single and two‐phase flows in a horizontal pipe with a Kenics static mixer: Effect of pressure drop on mixing

Void fraction measurement based on electromagnetic wave sensor

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