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Predicting the Splash of a Drop Impacting a Thin Liquid Film.
Rajendran, S; Jog, M A; Manglik, R M.
Affiliation
  • Rajendran S; Thermal-Fluids and Thermal Processing Laboratory, Department of Mechanical and Materials Engineering, University of Cincinnati, 2901 Woodside Drive, Cincinnati, Ohio 45221-0072, United States.
  • Jog MA; Thermal-Fluids and Thermal Processing Laboratory, Department of Mechanical and Materials Engineering, University of Cincinnati, 2901 Woodside Drive, Cincinnati, Ohio 45221-0072, United States.
  • Manglik RM; Thermal-Fluids and Thermal Processing Laboratory, Department of Mechanical and Materials Engineering, University of Cincinnati, 2901 Woodside Drive, Cincinnati, Ohio 45221-0072, United States.
Langmuir ; 39(41): 14764-14773, 2023 Oct 17.
Article in En | MEDLINE | ID: mdl-37756554
An experimental study is carried out to investigate droplet-film interactions when a drop impinges on a thin stagnant film of the same liquid. The impacting drop causes either liquid deposition or splash, consisting of prompt generation of secondary drops or a delayed process. By varying the drop diameter and impact velocity, measurements are made to characterize the phenomena using five different liquids that are chosen to cover a wide range of liquid properties (viscosity and surface tension). The drop impact dynamics are captured with a high-speed digital camera with real-time, high-resolution image processing. The drop-splash threshold is found to scale with inertial and viscous forces, or Reynolds number (Re), as well as capillary forces, as described by the balance of gravitational and interfacial tension forces, or Bond number (Bo); fluid properties are described by their Morton number (Mo). A correlation, functionally expressed as Re = ϕ(Bo,Mo), is devised to determine the splash/no-splash (or deposition) boundary, and the predictions for the splash/no-splash outcomes agree well with the experimental outcomes as well as those readily available in the literature.

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2023 Type: Article Affiliation country: United States