2016
DOI: 10.1051/epjconf/201611402072
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Measurement of Liquid Film Thickness via Light Absorption and Laser Tomography

Abstract: Abstract. This paper presents film thickness measurement over a vertical falling liquid film, carried out with Light Absorption (LAbs) and a 2D laser tomography techniques known as Level Detection and Recording (LeDaR). The presented test cases are in the low Reynolds regime (Re = 1 − 8) and include undisturbed conditions, i.e. constant flow rate, and inlet-forced conditions, i.e. flow rate pulsing at frequencies in the range f p = 12 − 18Hz. The liquid used is Dipropilene Glycol (DPG), with Kapitza number Ka … Show more

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Cited by 11 publications
(6 citation statements)
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“…The goal was to obtain a low-cost measurement technique that reduces the data acquisition time and error compared to the manual tracing method and has a fast, efficient, and reliable post-processing method. The algorithm was developed in MATLAB, version R2018b, and it is based on directional image analysis with a grayscale gradient identification, similar to LeDaR [38] (level detection and recording), followed by image binarization and morphological operations to filter out the eventual outliers and to generate the final ice edge profile. The detection process can be adapted to each case by employing several adjustable parameters-which, for good-quality images (with minimal light reflections or shadows), are constant for each ice accretion regime.…”
Section: Image-processing Ice Edge Detection Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The goal was to obtain a low-cost measurement technique that reduces the data acquisition time and error compared to the manual tracing method and has a fast, efficient, and reliable post-processing method. The algorithm was developed in MATLAB, version R2018b, and it is based on directional image analysis with a grayscale gradient identification, similar to LeDaR [38] (level detection and recording), followed by image binarization and morphological operations to filter out the eventual outliers and to generate the final ice edge profile. The detection process can be adapted to each case by employing several adjustable parameters-which, for good-quality images (with minimal light reflections or shadows), are constant for each ice accretion regime.…”
Section: Image-processing Ice Edge Detection Methodsmentioning
confidence: 99%
“…Looking at possible inexpensive solutions, measurement techniques based on image processing algorithms are used in many fields [36,37], from the research of physical phenomena [38][39][40][41], of environmental events [42][43][44], or medical research [45][46][47] to the assessment of industrial faults [48][49][50]. These types of algorithms provide non-invasive measurement capabilities, efficient ways to process big amounts of data, are cost-efficient, offer improved and reliable detection accuracy, and significantly reduce human error.…”
Section: Introductionmentioning
confidence: 99%
“…Only the right side of the meniscus is shown since the problem is symmetric. The interface is detected by calculating the vertical gradient of the image intensity, similarly to Mendez et al (2016Mendez et al ( , 2018, by searching for the peak in the intensity gradient in each image column. At the end of this process, outliers are removed using a local median filter.…”
Section: Lif Visualization: Set-up and Processingmentioning
confidence: 99%
“…To maximize and match the absorption spectra of the liquid with the emission spectra of the light, a methylene blue colorant is diluted in the liquid, with a concentration of 21 mg/Kg. The definition of the optimal colorant concentration for minimizing the measurement uncertainties is presented in [29,40]. An exemplary image of the TR-Labs acquisition is shown in Fig.5 (top), together with the corresponding reference image (bottom) of the dry test section.…”
Section: The Vki Ondule Facilitymentioning
confidence: 99%