Measurement of bubble size distribution in a gas–liquid foam using pulsed-field gradient nuclear magnetic resonance

Stevenson, Paul; Sederman, Andrew J.; Mantle, Mick D.; Li, Xueliang; Gladden, Lynn F.

doi:10.1016/j.jcis.2010.08.018

Cited by 26 publications

(10 citation statements)

References 46 publications

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“…Porous media, such as rocks, foams, cells and more complex tissues, are of importance to many fields, from geology to biology, and PFG NMR experiments are capable not just of characterising diffusion within such media, but also of revealing geometric information about the environment, such as pore sizes and tortuosity [2,[4][5][6][7][8][9]. Moreover, these methods form the basis of a variety of diffusion-weighted magnetic resonance imaging (MRI) techniques, ranging from a simple contrast mechanism to diffusion-tensor imaging and neural tractography [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

GPU accelerated Monte Carlo simulation of pulsed-field gradient NMR experiments

Waudby¹,

Christodoulou²

2011

Journal of Magnetic Resonance

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Section: Introductionmentioning

confidence: 99%

GPU accelerated Monte Carlo simulation of pulsed-field gradient NMR experiments

Waudby¹,

Christodoulou²

2011

Journal of Magnetic Resonance

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“…Determining the bubble size distribution in the foam by photographing the foam through a transparent column and using imaging processing software is a commonly used experimental technique (Stevenson 2006 ). However, Stevenson et al ( 2010 ) have noted how notoriously problematic gas–liquid foam systems are to experiment upon, due to the difficulty in measuring the bubble size distribution within the bulk of the foam. Cheng and Lemlich ( 1983 ) determined that measurements at the column wall may not be representative of the situation within the bulk of the foam due to planar sampling bias, which discriminates against smaller bubbles, and the fact that smaller bubbles can wedge larger ones from the wall, which discriminates against larger bubbles.…”

Section: Discussionmentioning

confidence: 99%

The effect of bubble size on the efficiency and economics of harvesting microalgae by foam flotation

2014

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The effect of bubble size and rise velocity on the efficiency of a foam flotation microalgae harvesting unit was determined. Three sparger and input airflow combinations were used: (1) limewood sparger with constant airflow, (2) ceramic flat plate sparger with constant airflow and (3) ceramic flat plate sparger with an oscillating airflow. The ceramic sparger with oscillating flow generated the smallest bubbles within the liquid pool and the largest bubbles within the foam phase. This delivered the highest levels of biomass recovery due to enhanced bubble-algae collision and attachment efficiencies. The smaller bubbles generated by the ceramic sparger under constant or oscillating airflow had significantly faster rise velocities when compared to the larger bubbles produced by the limewood spargers. The faster velocities of the smaller bubbles were due to momentum transfer to the liquid phase. Analyses of the harvest economics revealed that the ceramic flat plate sparger with an oscillating airflow delivered the best overall cost-benefit relationship.

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“…Despite the fact that there are various applications of PFG-NMR to gain SSDs from emulsions in the literature, there appears to be very little research into gas/liquid foams, likely because of the poor signal to noise ratio that gas phase NMR suffers from. A recent study made use of PFG-NMR to determine the bubble size distribution in a non-overflowing pneumatic gas-liquid foam [28]. In this study the bubble size was in the range of 0.5 mm up to 6 mm and the bubble size distribution followed the Weibull model.…”

Section: Magnetic Resonance Sphere Sizing Methodsmentioning

confidence: 98%