Data for: A temporal–spatial framework for efficient heat flux monitoring of transient boiling

Two-phase cooling offers superior heat dissipation compared to conventional single-phase cooling methods. Nevertheless, the occurrence of critical heat flux (CHF) during boiling introduces reliability concerns, potentially leading to system failure. To improve system reliability, optical imaging is employed to analyze and monitor cooling systems without disrupting the boiling dynamics. These methods involve analyzing images of the boiling process to identify boiling regimes and evaluate heat flux. However, current optical-based methods are limited to static images, thereby missing out on the valuable temporal information captured by high-speed imaging. Inspired by the successful integration of temporal information in other fields, this work aims to exploit the temporal information from transient pool boiling captured via high-speed imaging for enhanced heat flux monitoring. For this purpose, two frameworks, comprising six different machine-learning models, have been developed for a comp..., , # Data for: A temporal–spatial framework for efficient heat flux monitoring of transient boiling Dataset DOI: [10.5061/dryad.6m905qgc7](10.5061/dryad.6m905qgc7) ## Description of the data and file structure This dataset includes the temperature, acoustic (hydrophone), and videos of transient pool boiling tests of water on flat copper surfaces. 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 are connected to the DC power supply (MagnaPower SL200-7.5) f...,两相冷却相较于传统单相冷却方式具备更优异的散热性能。然而，沸腾过程中临界热流密度（critical heat flux, CHF）的出现会引发可靠性隐患，甚至可能导致系统失效。为提升系统可靠性，研究人员采用光学成像技术对冷却系统进行分析与监测，且不会干扰沸腾动力学过程。此类方法通过分析沸腾过程的图像，以识别沸腾流型并评估热流密度。但当前基于光学的方法仅局限于静态图像，因此丢失了高速成像所捕获的宝贵时序信息。受其他领域成功整合时序信息的启发，本研究旨在利用高速成像捕获的瞬态池沸腾时序信息，以实现更精准的热流密度监测。为此，本研究开发了包含六种不同机器学习模型的两类框架，以用于…… # 面向瞬态沸腾高效热流监测的时空框架 数据集DOI：10.5061/dryad.6m905qgc7 ## 数据与文件结构说明 本数据集包含平坦铜表面上水的瞬态池沸腾试验的温度数据、声学（水听器）数据及视频资料。池沸腾试验装置包含三部分：(a) 加热单元，由铜块与筒式加热器组成；(b) 带循环回路的封闭腔室，该回路用于连接冷水机（Thermo Scientific Polar ACCEL 500 Low/EA）、格雷厄姆冷凝器（Ace Glass 5953-106）、带适配器（Ace Glass 5838-76）的组件以及自研盘绕式铜冷凝器；(c) 同步多模态传感系统。铜块浸没于去离子水中，由9个额定功率为50 W的筒式加热器（Omega Engineering HDC19102）从底部插入进行加热。筒式加热器与直流电源（MagnaPower SL200-7.5）相连……