Data from: Unveiling hysteresis of transient boiling: A multimodal perspective
Data files
Jun 17, 2025 version files 40.08 GB
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ned3-002_BoilingHysteresis_mp4.zip
875.03 MB
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ned3-002_BoilingHysteresis.zip
39.20 GB
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README.md
4.78 KB
Abstract
Boiling is widely used in thermal management systems of electronic and energy devices due to its exceptional mass efficiency. However, hysteresis present during boiling makes the boiling curve unable to return along the same path as the rising curve, hindering a thermal management system from achieving precise temperature control. Such thermal crises increase both system instability and the likelihood of system failure. Some studies have explored hysteresis based on steady-state boiling, identifying several types of hysteresis during nucleate boiling. However, the impact of critical heat flux (CHF) on a boiling cycle has not been considered. Therefore, this paper explores hysteresis in transient boiling from a multimodal perspective, offering insights into possible indicators for active and passive thermal control. Multimodal sensing, which integrates thermal, optical, and acoustic measurements, is employed to collect data during transient pool boiling on a copper foam surface. Then, time and frequency domain analyses are conducted on these multimodal data to unveil hysteresis. Based on this research, the hysteresis observed in a complete transient boiling cycle involving CHF can be classified into three categories: nucleation hysteresis (ΔV hysteresis), burnout hysteresis (CHF hysteresis), and pressure change hysteresis (ΔP hysteresis). The mechanisms underlying these types of hysteresis and their multimodal behaviors are elucidated based on the analysis results. Finally, the impact of hysteresis and strategies for its mitigation are discussed. It is observed that smooth surfaces, such as plain copper, exhibit more pronounced nucleation hysteresis compared to hierarchical porous surfaces, such as copper foams.
Dataset DOI: 10.5061/dryad.ksn02v7h2
Description of the data and file structure
The experimental data were collected from a pool boiling facility, which has three major parts: (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) and an in-house built coiled copper condenser; and (c) a synchronized multimodal sensing system. The copper block, electrodeposited with the copper foams, 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. Four T-type thermocouples (Omega Engineering Tj36-CPSS-032U-6) are inserted near the boiling surface of the copper block to measure the temperature gradient, and approximate the heat flux and boiling surface temperature. Two additional screw-plug heaters are immersed in the liquid pool for degassing and auxiliary heating. A variable-voltage transformer (McMaster-Carr 6994K17) is used for adjusting the voltage required for the immersion heaters within the given range. Two T-type threaded thermocouples (McMaster-Carr 1245N16) are placed inside the boiling chamber to measure liquid and vapor temperatures. A liquid-submerged hydrophone (HTI-96 Min) and a chamber-attached acoustic emission (AE) sensor (MISTRAS R3a) are used to record the acoustic signal of boiling. A high-speed camera (Phantom VEO 710L) is used to capture the bubble dynamics. Additionally, a condenser microphone (Behringer ECM8000) was placed outside of the boiling chamber and was pointed at the heater surface. A 48V phantom power supply (Neewer NW-100) was used to power the microphone. The microphone was connected to an audio interface (Behringer U-PHORIA UMC404HD), which relayed signals of 10Hz- 43kHz. These sensors can capture the multi-modal synchronized signal for thermal (temperature, heat flux), optical (images), and acoustics (liquid pressure waves and solid transient waves). For detailed information on hardware models, parameters, and signal acquisition settings of these devices, as well as detailed photos of the setup, and information on other auxiliary devices shown in the figure, please refer to our previous work.
Files and variables
File: ned3-002_BoilingHysteresis.zip
Description: This dataset includes two folders, i.e., i) copper foam_boiling84 for multimodal data from a transient pool boiling test of deionized water on a copper foam surface, and ii) flat_copper_boiling91for multimodal data from a transient pool boiling test of deionized water on a flat copper surface. Each folder, labeled as a generic test ID, Boiling-xxx, includes six files:
labeled as a generic test ID, Boiling-xxx,
- The Boiling-xxx_AE.DTA file is the source file of acoustic emission signals captured using a MISTRAS R3a sensor and a MISTRAS USB AE Node. This file can be opened using the MISTRAS AEWin software.
- The Boiling-xxx_AEHit.txt file is the hit data exported from the .DTA file.
- The Boiling-xxx_Hydrophone.lvm file includes the continuously sampled acoustic data using two HTI-96-MIN hydrophones with an NI-9230 module.
- The Boiling-xxx_Microphone.lvm file includes the continuously sampled acoustic data using a Behringer ECM8000 microphone with a Behringer U-PHORIA UMC404HD audio interface.
- The Boiling-xxx_Temperature.lvm includes the temperature measurements using probe thermocouples (Omega Engineering Tj36-CPSS-032U-6) in the copper block and pool thermocouples in the water and vapor phases (McMaster-Carr 1245N16). These data are collected using an NI-9210 module.
- The Boiling-xxx_video.cine file is the high-speed video captured during the boiling tests using a Phantom VEO 710L camera with the PCC software.
File: ned3-002_BoilingHysteresis_mp4.zip
Description: This zip file includes two MP4 videos, i.e., Boiling-84_video.mp4 and Boiling-91_video.mp4. These two videos correspond to the .CINE files under ned3-002_BoilingHysteresis.zip.
Code/software
- The .txt and .lvm files can be opened and analyzed using programming languages such as Python and MATLAB. They can also be opened using Excel, Notepad, or other sheet or text readers.
- The .DTA file can be opened using the MISTRAS AEWin software.
- The .cine file can be opened using Phantom Camera Control (PCC) software.