Bubble size and mass transfer characteristics of sparged downwards two-phase flow

Sotiriadis, A.A.; Thorpe, Rex B.; Smith, J. M.

doi:10.1016/j.ces.2005.05.046

Cited by 35 publications

(15 citation statements)

References 19 publications

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“…Thus, the potential error in the BSD because of the bubble sampling near the center is negligible and is not expected to influence the results. This method was also used in other studies 18…”

Section: Methodsmentioning

confidence: 99%

Determination of bubble size distribution in a bubble column reactor using artificial neural network

Amiri

Mehrnia

Barzegari

et al. 2011

Asia-Pacific J Chem Eng

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In the present study, bubble size distribution (BSD) within a bubble column reactor was modeled using an artificial neural network (ANN). The fluids tested in the bubble column consisted of 11 different oil mixtures, each containing two different oils. Pure water was also tested. BSD was determined for various superficial gas velocities by photographing the state of the fluid. It was found that bubble size as well as distribution depended on parameters, such as gas flow rate, liquid properties, sparger pore diameter and distance from the sparger in the column. The proposed ANN model is based on more than 4500 data points collected for BSD estimation. Through statistical testing, it was found that the model has a correlation coefficient greater than 70% and upon experimental testing was found to better predict BSD than currently used correlations found in the literature. 

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Section: Methodsmentioning

confidence: 99%

Determination of bubble size distribution in a bubble column reactor using artificial neural network

Amiri

Mehrnia

Barzegari

et al. 2011

Asia-Pacific J Chem Eng

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“…Another study [133] was conducted with air and water in a large circulating rig with a 0.105 m diameter test section.…”

Section: Bubble Size In Two-phase Air-water Horizontal Flowsmentioning

confidence: 99%

A Critical Review of Advanced Experimental Techniques to Measure Two- Phase Gas/Liquid Flow

Rahman¹,

Heidrick²,

Fleck³

2009

TOEFJ

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Gas assisted atomization is becoming increasingly important in many industrial applications such as physical, chemical and petroleum processes. In order to achieve proper atomization it is crucial to have proper mixing of gas (air) and liquid (water) in the feeding conduit before it enters into the nozzle. The flow regime, as well as the flow pattern and structure of the flow, are some of the important parameters that describe two-phase gas/liquid flows, and identify twophase gas/liquid flow regimes. It is also desirable to know under what conditions there is a transition among the different flow regimes (dispersed, stratified, annular, annular-dispersed, slug, wavy-slug, mist-annular). Due to the existence of relative movement in the interfaces and variable interactions between two phases, two-phase gas/liquid flow is a complex transport phenomenon compared to single-phase flow. Still, there is no effective technique to identify the two-phase gas/liquid flow regimes and it is even difficult to capture the accurate flow structures in smaller conduits in turbulent flow cases. Lack of solid and comprehensive theories for predicting and calculating the pressure and void fraction variations in two-phase air/water flow situations has left engineers without essential information for proper design of two-phase flow systems. This review is an effort to explore the state of the present advanced measurement techniques in this field of research. Subsequently, some of the advanced void fraction, photonics and pressure measurement techniques and correlations for identification of two-phase gas/liquid flow regimes and bubble sizes are investigated.

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“…Sotiriadis et al investigated the effect of peripheral sparger and plunging jet sparger on mass transfer [13]. They found that the peripheral sparger created the largest bubbles while the plunging jet sparger created the smaller bubbles.…”

Section: Introductionmentioning

confidence: 97%

Investigation of bubble diameter and flow regime between water and dilute aqueous ethanol solutions in an airlift reactor

Sajjadi

Moraveji

Davarnejad

2011

Front. Chem. Sci. Eng.

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In this study, the effect of ethanol addition into pure water and its concentration on bubble diameter, gas hold-up and flow regimes were investigated in an airlift reactor. Air and water with ethanol (concentration ranging from 0%-1%, v/v) were as dispersed and continuous phases, respectively. Superficial gas velocity was considered as an effective parameter. Bubble size distribution was measured by photography and picture analysis at various concentrations of ethanol and various velocities of gas. Alcohol concentration enhancement caused bubble diameter to decrease. Furthermore, the bubbles diameter in pure water was nearly 4 times higher than that of ethanol with concentration of 1% (v/v) and also was 3.4 times higher than that of ethanol with concentration of 0.25% (v/ v) at the highest aeration gas velocity inlet. For ethanol solutions in lower superficial gas velocity, a homogenous flow regime was observed. This trend continued to inlet gas velocity of about 0.4 cm/s. The transition flow regime occurred after this datum although in pure water, a homogenous flow regime was observed up to a superficial gas velocity of 0.7 cm/s. The gas hold-up in dilute ethanol solutions were more than (around 2 times) that of pure water and increased with increasing concentration of ethanol in those solutions.

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Bubble size and mass transfer characteristics of sparged downwards two-phase flow

Cited by 35 publications

References 19 publications

Determination of bubble size distribution in a bubble column reactor using artificial neural network

Determination of bubble size distribution in a bubble column reactor using artificial neural network

A Critical Review of Advanced Experimental Techniques to Measure Two- Phase Gas/Liquid Flow

Investigation of bubble diameter and flow regime between water and dilute aqueous ethanol solutions in an airlift reactor

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