One-dimensional drift-flux model of gas holdup in fine-bubble jet reactor

Tian, Hongzhou; Pi, Shaofeng; Feng, Yaocheng; Zheng, Zhuo; Zhang, Feng; Zhang, Zhibing

doi:10.1016/j.cej.2019.03.098

Cited by 18 publications

(6 citation statements)

References 60 publications

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“…Based on the log-normal distribution function, the calculation of d 32 is defined as d 32 = d max false( d max / d min false) − 1 / 2 exp [ 3.5 ( 4 + 0.5 ln d max / d min − 2 ) 2 ] where d min is the diameter of the minimum bubbles and d max is the diameter of the maximum bubbles. d min and d max are defined as d min = 11.4 false( μ normalL / ρ normalL false) 3 / 4 ε − 1 / 4 d max = ε − 2 / 5 false( σ normalL W e normalc rit / 2 ρ normalL false) 3 / 5 where μ L is the dynamic viscosity of the liquid, σ L is the surface tension, ρ L is the density of the liquid, We crit is the critical Weber number, and ε is the energy dissipation rate that can be calculated by the model in our manuscript (I).…”

Section: Model For D 32 Calculationmentioning

confidence: 99%

“…Based on the log-normal distribution function, the calculation of d 32 is defined as where d min is the diameter of the minimum bubbles and d max is the diameter of the maximum bubbles. d min and d max are defined as where μ L is the dynamic viscosity of the liquid, σ L is the surface tension, ρ L is the density of the liquid, We crit is the critical Weber number, and ε is the energy dissipation rate that can be calculated by the model in our manuscript (I).…”

Section: Model For D 32 Calculationmentioning

confidence: 99%

See 1 more Smart Citation

HiGee Microbubble Generator: (II) Controllable Preparation of Microbubbles

Jiang

Wang

Liao

et al. 2022

Ind. Eng. Chem. Res.

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Microbubbles can significantly intensify the gas–liquid mass transfer process. With the current bubble generators, it is difficult to achieve the controllable preparation of microbubbles with gas–liquid volume flow rate ratios greater than 0.5, which limits the applications of the microbubble technology. In our manuscript (I), a HiGee microbubble generator (HMG) has been developed with a variable energy dissipation rate. In this work, the HMG was first employed to produce microbubbles. Under the experimental conditions, the Sauter mean diameter (d 32) of the microbubbles was 100–300 μm and could be easily adjusted by the rotational speed. The deviations between the d 32 calculated by the energy dissipation rate model established in manuscript (I) and the experimental values were within ±10%, demonstrating the reliability of the energy dissipation rate model of HMG. Compared with other bubble generators, HMG is proved to be an excellent generator to produce controllable microbubbles, especially for relatively high gas–liquid volume flow rate ratio processes.

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Section: Model For D 32 Calculationmentioning

confidence: 99%

Section: Model For D 32 Calculationmentioning

confidence: 99%

HiGee Microbubble Generator: (II) Controllable Preparation of Microbubbles

Jiang

Wang

Liao

et al. 2022

Ind. Eng. Chem. Res.

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show abstract

“…[ 22,25,26 ] However, the bubble diameter produced by the ejector should be less than 1 mm in theory under multiple effects. [ 27 ] Our pre‐experiments showed that the diameters of bubbles in the bubble column are pretty different from those produced by the ejector. When the liquid carrying fine bubbles is injected into the reactor from an ejector, a shear flow field forms around the outlet zone of the ejector.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, most of the former studies on the ejectors carried out experiments in air-water systems, [14,[16][17][18][21][22][23][24]26] and only a few investigations considered the influence of the liquid properties on the performance of ejectors. [27,28] Padmavathi and Rao [28] explored the influence of liquid viscosity on the gas holdup in a jet reactor using the glycerol solution. Tian et al [27] proposed a theoretical model for predicting the gas holdup in a fine-bubble jet reactor, and the model consists of three key sub-models (bubble Sauter mean diameter, bubble average rising velocity, and energy dissipation rate).…”

Section: Introductionmentioning

confidence: 99%

“…[27,28] Padmavathi and Rao [28] explored the influence of liquid viscosity on the gas holdup in a jet reactor using the glycerol solution. Tian et al [27] proposed a theoretical model for predicting the gas holdup in a fine-bubble jet reactor, and the model consists of three key sub-models (bubble Sauter mean diameter, bubble average rising velocity, and energy dissipation rate). The model of the gas holdup was validated by comparing theoretical results with the gas holdup measured experimentally in tap water, ethanol solution, and glycerol solution.…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation of bubble size evolution released from a fine bubble ejector

Tao

Huang

et al. 2023

Can J Chem Eng

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The effects of gas flow rate, liquid flow rate, and liquid properties on the bubble size evolution at the outlet zone of an ejector have been investigated systemically. The liquid properties, including surface tension and viscosity, were changed by adding glycerol, ethanol, or Carbopol 2020 into tap water. It was found that increasing the liquid flow rate is beneficial for producing smaller bubbles with a narrower size distribution in the ejector, while the gas flow rate investigated here shows less influence on the generated fine bubble diameter. An intense bubble coalescence phenomenon, which has a negative effect on mass transfer, was first observed at the small outlet zone of the ejector by exploring the bubble size evolution along the axial height. It was found that the mean diameter of the fine bubbles could increase by 48% ~ 90% when they rose only 25 cm from the ejector outlet, and the bubble coalescence could be effectively suppressed by adding a small amount of glycerol to water. The bubble diameter could be reduced by 32% ~ 43% by using a 2 wt.% glycerol solution under the experimental conditions. A comparative study with tap water, glycerol solution, Carbopol solution, and ethanol solution was taken, and the underlying mechanism of reducing the generated bubble size by changing the liquid properties was revealed.

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Hydrodynamics and model of gas‐liquid flow in microbubble column reactors

Xie,

Liu,

Jiang

et al. 2023

AIChE Journal

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Microbubble column reactors (MBCRs) have the significant advantages of high gas holdup, large gas‐liquid interfacial area, and excellent mass transfer performance, making them attractive for applications such as hydrogenation and oxidation. However, there is still a lack of comprehensive understanding of the gas‐liquid flow behavior in MBCRs. In this work, the effects of gas and liquid superficial velocities on flow regimes, residence time distribution, and gas holdup are investigated. The gas holdup increases linearly with the increase of gas superficial velocity, even in heterogeneous regimes, ranging from 0% to 60% at gas superficial velocities of 0–25 mm/s. Additionally, the gas‐liquid interfacial areas in MBCRs are 1–2 orders of magnitude larger than those in traditional bubble column reactors. A prediction model for gas holdup is established, and the predicted values are in good agreement with the experimental values.

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One-dimensional drift-flux model of gas holdup in fine-bubble jet reactor

Cited by 18 publications

References 60 publications

HiGee Microbubble Generator: (II) Controllable Preparation of Microbubbles

HiGee Microbubble Generator: (II) Controllable Preparation of Microbubbles

Experimental investigation of bubble size evolution released from a fine bubble ejector

Hydrodynamics and model of gas‐liquid flow in microbubble column reactors

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