75th Annual Meeting of the APS Division of Fluid Dynamics (November 20, 2022 — November 22, 2022)

V0068: Extracting volumes from arbitrary multiple droplet arrays using the Pattern Distortion technique

  • Joseph Kilbride, Nottingham Trent University
  • Fouzia Ouali, Nottingham Trent University
  • Azmaine Iqtidar, Princeton University
  • Howard Stone, Princeton University
  • Hassan Masoud, Michigan Technological University
  • David Fairhurst, Nottingham Trent University
DOI: https://doi.org/10.1103/APS.DFD.2022.GFM.V0068

Multiple droplets are seen frequently in nature as rain on windows, sweat on skin and condensing from our breath. Understanding how droplets evaporate when in close proximity to one another has many potential applications, including in slowing the spread of viruses and improving the resolution of ink-jet printers. To improve our understanding of cooperative droplet evaporation, the current theoretical models need to be compared to experiments. Due to the difficulties monitoring all droplets simultaneously with standard side cameras, this has not been possible. In this work we present a new technique to determine droplet volumes using their lens like nature. By placing a pattern beneath the substrate, magnified images can be formed and used to infer the size of the droplets. We use this technique to make comparisons to a theoretical model and show excellent agreement. 

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