Automated evaluation of contact angles in a three-phase system of selective agglomeration in liquids

  • This study aims to an automated evaluation of contact angles in a three-phase system of selective agglomeration in liquids. Wetting properties, quantified by contact angles, are essential in many industries and their processes. Selective agglomeration as a three-phase system consists of a suspension liquid, a heterogeneous solid phase and an immiscible binding liquid. It offers the chance of establishing more efficient separation processes because of the shape-dependent wetting properties of fine particles (size ≤ 10 µm). In the present paper, an experimental setup for contact angle measurements of fine particles based on the Sessile Drop Method is described. Moreover, a new algorithm is discussed, which can be used to automatically compute contact angles from image data captured by a high-speed camera. The algorithm uses a marker-based watershed transform to segment the image data into regions representing the droplet, the carrier plate coated by fine particles, and the background. The main idea is a parametric modelling approach forthe time-dependent droplet’s contour by an ellipse. The results show that the development of the dynamic contact angles towards a static contact angle can be efficiently determined based on this novel technique. These findings are useful for a detailed discrimination of wetting properties of spherical and irregularly shaped particles as well as their wetting kinetics. Also, a better understanding of selective agglomeration processes will be promoted by this user-friendly method.

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Metadaten
Verfasserangaben:Julia Schreier, Orkun Furat, Murat Cankaya, Volker Schmidt, Ulrich Bröckel
URN:urn:nbn:de:hbz:tr5-1188
DOI:https://doi.org/10.5566/ias.2403
Titel des übergeordneten Werkes (Englisch):Image Analysis & Stereology
Verlag:Slovenian Society for Stereology and Quantitative Image Analysis
Dokumentart:Wissenschaftlicher Artikel (Fachzeitschriften)
Sprache:Englisch
Datum des OPUS-Uploads:05.09.2022
Jahr der Erstveröffentlichung:2020
Veröffentlichende Hochschule:Hochschule Trier
Datum der Freischaltung:05.09.2022
Freies Schlagwort / Tag:automated detection; contact angle; image data; parametric contour modelling; selective agglomeration; three-phase system
GND-Schlagwort:Benetzung; Agglomerieren; Dreiphasensystem; Bildverarbeitung
Jahrgang:39
Ausgabe / Heft:3
Seitenzahl:10
Erste Seite:187
Letzte Seite:196
Einrichtungen:Institute / IMiP - Institut für Mikroverfahrenstechnik und Partikeltechnologie
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 66 Chemische Verfahrenstechnik
Lizenz (Deutsch):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International