2021
DOI: 10.1016/j.jfoodeng.2020.110151
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Characterization of fast-growing foams in bottling processes by endoscopic imaging and convolutional neural networks

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Cited by 9 publications
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“…The resonance radii are 76, 68, 57, 32, and 19 µm for f R = [42, 56, 85 and 168 kHz] and surface tension σ of the corresponding juice, respectively. This range of resonant radii are to be considered in the first percentile when comparing bubble size distributions of juice foams after similar filling tests and bottle geometries [33]. Since foams become coarser towards the top, it can be assumed that such bubbles are more likely to be found on the bottom, inside Plateau-channels, or during early foam formation.…”
Section: Impact Of Liquid-guided Ultrasoundmentioning
confidence: 99%
“…The resonance radii are 76, 68, 57, 32, and 19 µm for f R = [42, 56, 85 and 168 kHz] and surface tension σ of the corresponding juice, respectively. This range of resonant radii are to be considered in the first percentile when comparing bubble size distributions of juice foams after similar filling tests and bottle geometries [33]. Since foams become coarser towards the top, it can be assumed that such bubbles are more likely to be found on the bottom, inside Plateau-channels, or during early foam formation.…”
Section: Impact Of Liquid-guided Ultrasoundmentioning
confidence: 99%