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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

Author's School

McKelvey School of Engineering

Author's Department

Mechanical Engineering and Materials Science

Class Name

Mechanical Engineering and Material Sciences Independent Study

Language

English (en)

Date of Submission

5-9-2026

Available for download on Tuesday, May 08, 2029

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