Data for: Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
收藏DataONE2025-06-10 更新2025-06-28 收录
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This paper presents Hit2Flux, a machine learning framework for boiling heat flux prediction using acoustic emission (AE) hits generated through threshold-based transient sampling. Unlike continuously sampled data, AE hits are recorded when the signal exceeds a predefined threshold and are thus discontinuous in nature. Meanwhile, each hit represents a waveform at a high sampling frequency (â¼1 MHz). In order to capture the features of both the high-frequency waveforms and the temporal distribution of hits, Hit2Flux involves i) feature extraction by transforming AE hits into the frequency domain and organizing these spectra into sequences using a rolling window to form âsequences-of-sequences,â and ii) heat flux prediction using a long short-term memory (LSTM) network with sequences of sequences. The model is trained on AE hits recorded during pool boiling experiments using an AE sensor attached to the boiling chamber. Continuously sampled acoustic data using a hydrophone were also collect..., , # Data for: Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
Dataset DOI: [10.5061/dryad.g79cnp628](10.5061/dryad.g79cnp628)
## Description of the data and file structure
This dataset includes acoustic emission hit data and waveforms, hydrophone data, pressure, and temperature data from transient pool boiling tests on copper microchannels. The pool boiling test facility includes (a) a heating element that consists of a copper block and cartridge heaters; (b) a closed chamber with flow loops for a chiller (Thermo Scientific Polar ACCEL 500 Low/EA) connecting Graham condenser (Ace glass 5953-106) with an adapter (Ace glass 5838-76) and an in-house built coiled copper condenser; and (c) a synchronized multimodal sensing system. The copper block is submerged in deionized water and heated by nine cartridge heaters (Omega Engineering HDC19102), each with a power rating of 50 W, inserted from the bottom. The cartridge heaters ...,
创建时间:
2025-06-11



