Prediction of Contact Angle of Nanofluids by Single-Phase Approaches
Nur Çobanoğlu,
Ziya Haktan Karadeniz,
Patrice Estellé,
Raul Martínez-Cuenca and
Matthias H. Buschmann
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Nur Çobanoğlu: Graduate School of Natural and Applied Sciences, İzmir Kâtip Çelebi University, 35620 İzmir, Turkey
Ziya Haktan Karadeniz: Department of Mechanical Engineering, İzmir Kâtip Çelebi University, 35620 İzmir, Turkey
Patrice Estellé: Univ Rennes, LGCGM, EA3913, F-35000 Rennes, France
Raul Martínez-Cuenca: Departamento de Ingeniería Mecánica y Construcción, Universitat Jaume I, 12071 Castelló de la Plana, Spain
Matthias H. Buschmann: Institut für Luft- und Kältetechnik gGmbH Dresden, 01309 Dresden, Germany
Energies, 2019, vol. 12, issue 23, 1-16
Abstract:
Wettability is the ability of the liquid to contact with the solid surface at the surrounding fluid and its degree is defined by contact angle (CA), which is calculated with balance between adhesive and cohesive forces on droplet surface. Thermophysical properties of the droplet, the forces acting on the droplet, atmosphere surrounding the droplet and the substrate surface are the main parameters affecting on CA. With nanofluids (NF), nanoparticle concentration and size and shape can modify the contact angle and thus wettability. This study investigates the validity of single-phase CA correlations for several nanofluids with different types of nanoparticles dispersed in water. Geometrical parameters of sessile droplet (height of the droplet, wetting radius and radius of curvature at the apex) are used in the tested correlations, which are based on force balance acting on the droplet surface, energy balance, spherical dome approach and empirical expression, respectively. It is shown that single-phase models can be expressed in terms of Bond number, the non-dimensional droplet volume and two geometrical similarity simplexes. It is demonstrated that they can be used successfully to predict CA of dilute nanofluids’ at ambient conditions. Besides evaluation of CA, droplet shape is also well predicted for all nanofluid samples with ±5% error.
Keywords: contact angle; nanofluid; Bond number (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:23:p:4558-:d:292379
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