Contributing Author(s) :

Joseph Rogers , Michael Khasin

This dataset presents raw acoustic, visual, and metadata collected during an experimental study investigating incipient boiling at local heat leaks in a water tank. While the experiments were conducted using water as the working fluid, the study was designed to explore boiling phenomena relevant to cryogenic fuel tanks, with applications in space-based thermal management and propellant storage.

Data acquisition was performed using an array of accelerometers mounted on the tank walls to capture acoustic emissions associated with nucleation events. Simultaneous visual recordings provide direct observation of boiling onset and bubble dynamics, while accompanying metadata includes key experimental parameters such as heat flux, wall temperature, pressure, and heater positioning.

This dataset is intended to support research in non-intrusive boiling detection, fluid dynamics, and machine learning-based classification of boiling regimes. The insights gained from this work contribute to the development of predictive models for early boiling detection, ultimately aiding the advancement of cryogenic fluid management strategies for space applications.

The dataset is publicly available for further analysis and experimentation in the fields of thermophysics, acoustic sensing, and boiling heat transfer.