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ORCID
0009-0006-1756-754X
Abstract
In the study of dropwise condensation, one of the important parameters is drop size distribution, where the number of droplets of each size is analyzed over a certain area. While this analysis has been conducted and relationships have been established for dropwise conditions, a similar experiment and correlation has not yet been found for Marangoni condensation. In this study, a machine learning tool is created and optimized to segment droplets from background in optical images, with hopes of using this tool in the future to conduct bulk analysis of Marangoni condensation, eventually leading to the development of a drop size distribution relationship.
Document Type
Final Report
Class Name
Mechanical Engineering and Material Sciences Independent Study
Language
English (en)
Date of Submission
5-9-2026
Recommended Citation
Rubel, Brendan, "Analysis tools for drop size distribution calculations" (2026). Mechanical Engineering and Materials Science Independent Study. 325.
https://openscholarship.wustl.edu/mems500/325