Interferometric laser imaging for droplet sizing method for long range measurements

García-Magariño, Adelaida; Sor, Suthyvann; Bardera, Rafael; Muñoz-Campillejo, Javier

doi:10.1016/j.measurement.2020.108418

Cited by 14 publications

(10 citation statements)

References 69 publications

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“…(2015) and Garcia-Magarino et al. (2021). In ILIDS, the droplet diameter is measured by analysing the interference pattern of the reflected and first-order refracted rays scattered from spherical droplets that are illuminated by a laser.…”

Section: Experimental Methodologymentioning

confidence: 96%

“…ILIDS was performed to measure the droplets diameter, similar to that done by Qieni et al (2016), Bocanegra Evans et al (2015 and Garcia-Magarino et al (2021). In ILIDS, the droplet diameter is measured by analysing the interference pattern of the reflected and first-order refracted rays scattered from spherical droplets that are illuminated by a laser.…”

Section: Interferometric Laser Imaging For Droplet Sizingmentioning

confidence: 99%

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Separate and joint clustering characteristics of large-Stokes-number sprays subjected to turbulent co-flows

Rostami

Kheirkhah

2023

J. Fluid Mech.

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Separate and joint droplets, clusters, and voids characteristics of sprays injected in a turbulent co-flow are investigated experimentally. Simultaneous Mie scattering and interferometric laser imaging for droplet sizing along with separate hotwire anemometry are performed. The turbulent co-flow characteristics are adjusted using zero, one or two perforated plates. The Taylor-length-scale-based Reynolds number varies from 10 to 38, and the Stokes number estimated based on the Kolmogorov time scale varies from 3 to 25. The results show that the mean length scale of the clusters normalized by the Kolmogorov length scale varies linearly with the Stokes number. However, the mean void length scale is of the order of the integral length scale. It is shown that the number density of the droplets inside the clusters is approximately 7 times larger than that in the voids. The ratios of the droplets number densities in the clusters and voids to the total number density are independent of the test conditions and equal 5.5 and 0.8, respectively. The joint probability density function of the droplets diameter and clusters area shows that the droplets with the most probable diameter are found in the majority of the clusters. It is argued that intensifying the turbulence broadens the range of turbulent eddy size in the co-flow which allows for accommodating droplets with a broad range of diameters in the clusters. The results are of significance for engineering applications that aim to modify the clustering characteristics of large-Stokes-number droplets sprayed into turbulent co-flows.

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Section: Experimental Methodologymentioning

confidence: 96%

Section: Interferometric Laser Imaging For Droplet Sizingmentioning

confidence: 99%

Separate and joint clustering characteristics of large-Stokes-number sprays subjected to turbulent co-flows

Rostami

Kheirkhah

2023

J. Fluid Mech.

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“…Non-intrusive measurement techniques avoid interfering with the flow conditions, which includes the acoustic detection technique 14,15 and optical imaging detection technique. [16][17][18] The acoustic detection technique focuses on obtaining the information of the entire bubble group but loses the specific parameters of a single bubble so that it is unable to achieve precise detection of microbubbles. The optical imaging detection technique can measure more accurate information, such as bubble flow boundaries and microstructure.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, optical imaging detection technique can obtain a large amount of bubble data at one time using high-speed image sensor, which can provide massive images for data analysis. 16 There exist a number of optical imaging detection techniques. Among these techniques, interferometric particle imaging detects the bubble based on the observed interference pattern formed by the out-of-focused reflection and refraction spots.…”

Section: Introductionmentioning

confidence: 99%

“…Some intrusive methods use capillary suction probes, 10 conductivity probes, 11 optical fiber probes, 12 wire-mesh sensors, 13 etc. Non-intrusive measurement techniques avoid interfering with the flow conditions, which includes the acoustic detection technique 14 , 15 and optical imaging detection technique 16 – 18 The acoustic detection technique focuses on obtaining the information of the entire bubble group but loses the specific parameters of a single bubble so that it is unable to achieve precise detection of microbubbles.…”

Section: Introductionmentioning

confidence: 99%

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Underwater microbubbles detection and identification based on dark field imaging

Wang,

Sun

et al. 2024

Opt. Eng.

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An underwater microbubbles detection and identification method based on dark field imaging is presented, focusing on measurement of the characteristics of microbubbles with high-resolution image capture. The target microbubbles in sampling volume of interest are illuminated by a laser sheet, which is matched with the depth of field. Images are captured in-focus under an observation angle of 90 deg to implement dark field detection, which suppresses the influence of interferential light, such as backlighting, scattering light, and blur caused by defocus. In this configuration, we propose to measure bubble size based on the distance of peak values of two glare points formed by the diffraction and reflection lights. The modified Resnet18 is employed to recognize the bubble images, and the number of bubbles with different diameters in bubble images is counted by template matching. Experimental results show that this dark field configuration allows high resolution imaging and evaluation of the diameter scale of the microbubbles. The precision of bubble recognition and quantification of bubbles within a certain range achieves more than 90%.

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T-matrix methods for electromagnetic structured beams: A commented reference database for the period 2019–2023

Gouesbet

2024

Journal of Quantitative Spectroscopy and Radiative Transfer

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Interferometric laser imaging for droplet sizing method for long range measurements

Cited by 14 publications

References 69 publications

Separate and joint clustering characteristics of large-Stokes-number sprays subjected to turbulent co-flows

Separate and joint clustering characteristics of large-Stokes-number sprays subjected to turbulent co-flows

Underwater microbubbles detection and identification based on dark field imaging

T-matrix methods for electromagnetic structured beams: A commented reference database for the period 2019–2023

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