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| Journal Article | PUBDB-2025-05359 |
; ;
2026
MDPI
Belgrade
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Please use a persistent id in citations: doi:https://doi.org/10.3390/fluids11030067 doi:10.3390/fluids11030067 doi:10.3204/PUBDB-2025-05359
Abstract: Precise control of thin liquid film deposition is crucial in applications where film stabilityand internal liquid flow significantly impact the dry film shape or the efficiency of sample ordrug delivery. No prior work has automated the extraction and measurement uncertaintyquantification of film geometric parameters from dual-view optical visualization withminimal user input. We present Python-based software that extracts time-resolved filmthickness, width, and the positions of three contact lines from visual data using computervision. The utility of such analysis is demonstrated by depositing 30% glycerol on a flexibletape through a circular nozzle orifice. The nozzle is positioned at a distance of h = 0.3 mmfrom the tape at an angle of attack α = 45◦, with deposition controlled at a volume flow rate.V = 30 µL min−1 and tape velocity v = 1.0 mm s−1. Expanded measurement uncertaintiesare 21 µm, 22 µm, and 53 µm for the upstream static, downstream static, and upstreamdynamic contact line positions, respectively, with maximum relative uncertainties of 10.3%and 8.2% for film thickness and width. Static contact line oscillations remain withinmeasurement uncertainty, whereas the upstream dynamic contact line exhibits resolvableoscillations. This dual-view framework provides high-resolution insights into liquid filmdynamics, which is crucial for comprehensive control of liquid film deposition.
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