An improved calibration methodology and uncertainty assessment in measurements of microbubble size and concentration

Abstract Interferometric particle imaging (IPI) is used to measure both the size distribution and concentration of microbubbles (with a diameter less than 100 micron) in water. Using a new method for calibration makes it possible to obtain quantitative results for the concentration of microbubbles. The results are validated using imaging with a long-range microscope shadowgraph (LMS). Estimates of the size distribution and concentration from both IPI and LMS agree within uncertainty limits. The relative uncertainty in the IPI concentration estimation is about 10% and is mostly due to the finite number of detected bubbles. It is shown that the performance of the bubble-image detection algorithm needs to be quantified to obtain a reliable estimate of the concentration obtained with IPI.

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Publication Details

Journal
Experiments in Fluids
Published
2024-12-31
DOI
https://doi.org/10.1007/s00348-024-03929-3
Citations
1
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
0.18

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article

An improved calibration methodology and uncertainty assessment in measurements of microbubble size and concentration

Daniele Fiscaletti, Gerrit E. Elsinga, Jerry Westerweel, Rens Stigter et al.
1 citations
Experiments in Fluids
Fluid Dynamics and Mixing
0.18
article

An improved calibration methodology and uncertainty assessment in measurements of microbubble size and concentration

Daniele Fiscaletti, Gerrit E. Elsinga, Jerry Westerweel, Rens Stigter, Tom van Terwisga
article en
1 citations

Abstract

Abstract Interferometric particle imaging (IPI) is used to measure both the size distribution and concentration of microbubbles (with a diameter less than 100 micron) in water. Using a new method for calibration makes it possible to obtain quantitative results for the concentration of microbubbles. The results are validated using imaging with a long-range microscope shadowgraph (LMS). Estimates of the size distribution and concentration from both IPI and LMS agree within uncertainty limits. The relative uncertainty in the IPI concentration estimation is about 10% and is mostly due to the finite number of detected bubbles. It is shown that the performance of the bubble-image detection algorithm needs to be quantified to obtain a reliable estimate of the concentration obtained with IPI.

Experiments in FluidsVol. 66(1)
Maritime Research Institute Netherlands (NL), Delft University of Technology (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 49%
Fluid Dynamics and Mixing
0.18
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An improved calibration methodology and uncertainty assessment in measurements of microbubble size and concentration — Daniele Fiscaletti, Gerrit E. Elsinga, et al. · Experiments in Fluids (2024) | TGRS Research Map | TGRS