Acoustic and Visual Data for Incipient Boiling at Local Heat Leaks in a Water

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.

Download: incipient-boiling-acoustic-visual-dataset-v1-0.zip 2 GB