Abstract

Bubble measurement has been widely discussed in the literature and comparison studies have been widely performed to validate the results obtained for various forms of bubble size inferences. This paper explores three methods used to obtain a bubble size distribution—optical detection, laser diffraction and acoustic inferences—for a bubble cloud. Each of these methods has advantages and disadvantages due to their intrinsic inference methodology or design flaws due to lack of specificity in measurement. It is clearly demonstrated that seeing bubbles and hearing them are substantially and quantitatively different. The main hypothesis being tested is that for a bubble cloud, acoustic methods are able to detect smaller bubbles compared to the other techniques, as acoustic measurements depend on an intrinsic bubble property, whereas photonics and optical methods are unable to “see” a smaller bubble that is behind a larger bubble. Acoustic methods provide a real-time size distribution for a bubble cloud, whereas for other techniques, appropriate adjustments or compromises must be made in order to arrive at robust data. Acoustic bubble spectrometry consistently records smaller bubbles that were not detected by the other techniques. The difference is largest for acoustic methods and optical methods, with size differences ranging from 5–79% in average bubble size. Differences in size between laser diffraction and optical methods ranged from 5–68%. The differences between laser diffraction and acoustic methods are less, and range between 0% (i.e., in agreement) up to 49%. There is a wider difference observed between the optical method, laser diffraction and acoustic methods whilst good agreement between laser diffraction and acoustic methods. The significant disagreement between laser diffraction and acoustic method (35% and 49%) demonstrates the hypothesis, as there is a higher proportion of smaller bubbles in these measurements (i.e., the smaller bubbles ‘hide’ during measurement via laser diffraction). This study, which shows that acoustic bubble spectrometry is able to detect smaller bubbles than laser diffraction and optical techniques. This is supported by heat and mass transfer studies that show enhanced performance due to increased interfacial area of microbubbles, compared to fine bubbles.

Highlights

  • Bubble Visualisation TechniquesBubbles ranging from (1 μm–1000 μm) in size are termed microbubbles

  • Bubble visualisation is easier for fine bubbles or for sparse microbubbles generated by either energy intensive or low throughput methods

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Summary

Introduction

Bubbles ranging from (1 μm–1000 μm) in size are termed microbubbles. the actual definition of a microbubble depends on its application, for the purposes of this study, the aforementioned definition holds [1]. Common practice is to use optical imaging coupled with the volume fraction of the bubble by juxtaposing a control image (bubble-free) over the bubble cloud image, followed by using pixel data and a Hough transform to determine the void fraction This does not necessarily provide any more information about the bubble size distribution (BSD). FFiigguurree 11..PhoPthogortoapgrhaicphViicsuVailsisuaatliiosnatoiofnCloouf dCBlouubdbleBDubybnlaemDicys n(laemfti)c–s c(olenfttr)o–lc/sotnetardoyl/sftleoawd,y(riflgohwt), (orsicgihllta)toorsycifllloawto.rNy oflthoiwn.g sNigontihfiicnagntscigannibfiecainnftercraend vbeisuinaflleyr—redthevimsuaajollryp—rotbhleemmwajohrenpcrhobarleamcterwishineng cmhiacrraocbtuerbibsilnegclmouicdrso.bubble clouds This is a direct form of measurement and visualisation, as well as the simplest method since it is a quickTahnisdiseaasdyiwreacyt ftoorminfoefr mtheeaBsuSrDe.ment and visualisation, as well as the simplest method since it is a quick and easy way to infer the BSD. Actuavtoem, IamteadgeiJm, MagAeTaLnAalBy,sMisaitshpeomsastiibclae, abnydsiLmapbVleieawlg.orithms by using any suitable programming language viz. Octave, ImageJ, MATLAB, MathIemmaagteicaan,aalnydsisLcaabnVaielswo.be performed manually It can, provide bubble sizes without the needIomf acgoemapnuatliynsgispcoawnearl(saolbbeeitpaercfuomrmbeerdsommaenuapalplyro. Adil et al [38] presents image analysis techniques for the rise velocity of a system with an ordinary camera

Acoustic Methods
Photonic Methods
Sparger
Frequency Measurement and Fast Fourier Transform
Microbubble Generation Setup
OOppttiiccaall MMeetthhooddss––HHiigghh--SSppeeeedd Photography
Findings
Photonic Method–SprayTec
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