Learning pool boiling physics with scientific machine learning

通过科学机器学习学习池沸腾物理

基本信息

  • 批准号:
    2045322
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-05-15 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

Phase changes are fundamental processes that underpin many natural phenomena and industrial applications such as dew condensation on insects, water droplet harvesting, immersion cooling for electronic devices, and nuclear reactor cooling. Boiling is a particular phase change process which involves the dynamic formation, movement, and evolution of bubbles. Bubbles mark liquid-vapor interfaces, and characterization of their statistics is crucial for unveiling fundamental boiling principles. So far, it has been very challenging to characterize and extract bubble statistics as they are extremely complex, rapidly move, and deform drastically. Such limitations about object tracking and data processing can be addressed by the recent advances in computer vision and deep learning. In this proposed work, computer models are trained to detect and track bubbles in live-imaging data and, subsequently, extract meaningful statistics on bubbles, for example, their number, size, and trajectory, to learn bubbles and boiling physics. The success of using computer vision concepts in thermofluidic engineering will enable modelling the interconnected relationships among surface designs, bubble data, and boiling performances by integrating new technologies in engineering, computer science, and data science. The goal of this project is to develop a novel data-based approach to obtain new understanding about boiling processes. The proposal envisions three major thrusts: (1) Experimentally and computationally extract interpretable and rich physical descriptors from live bubble images, which has been challenging in past; (2) develop learning models to connect surfaces, bubbles, and thermal performances by applying transfer learning, probabilistic surrogate modelling, and sequence learning; and (3) provide a holistic and fundamental understanding of dynamic boiling physics, enabling the inverse design of surfaces with desired heat transfer performance. Another contribution will be enriching the thermal science community with concepts and methods from machine learning, data science, and statistics. This enrichment can positively impact numerous thermofluidic experiments, in general, including cell or particle tracking in biofluidics, droplet study during condensation, and bubbly flow statistics during flow boiling.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
相变是支撑许多自然现象和工业应用的基本过程,例如昆虫上的露水冷凝、水滴收集、电子设备的浸没冷却和核反应堆冷却。沸腾是一种特殊的相变过程,它涉及气泡的动态形成、运动和演化。气泡标志着液体-蒸汽界面,其统计特性对于揭示基本的沸腾原理至关重要。到目前为止,表征和提取气泡统计数据非常具有挑战性,因为它们非常复杂,移动迅速,变形剧烈。关于对象跟踪和数据处理的这些限制可以通过计算机视觉和深度学习的最新进展来解决。在这项拟议的工作中,计算机模型被训练来检测和跟踪实时成像数据中的气泡,随后提取有关气泡的有意义的统计数据,例如它们的数量、大小和轨迹,以学习气泡和沸腾物理学。在热流体工程中使用计算机视觉概念的成功将通过整合工程,计算机科学和数据科学中的新技术,对表面设计,气泡数据和沸腾性能之间的相互关系进行建模。该项目的目标是开发一种新的基于数据的方法,以获得有关沸腾过程的新认识。该提案设想了三个主要目标:(1)通过实验和计算从活气泡图像中提取可解释和丰富的物理描述符,这在过去一直具有挑战性;(2)通过应用迁移学习,概率代理建模和序列学习来开发学习模型,以连接表面,气泡和热性能;和(3)提供对动态沸腾物理学的整体和基本的理解,使得能够反向设计具有期望的传热性能的表面。另一个贡献将是用机器学习、数据科学和统计学的概念和方法丰富热科学社区。这种富集可以积极影响许多热流体实验,一般来说,包括细胞或粒子跟踪在生物流体,液滴冷凝过程中的研究,并在流动沸腾气泡流统计。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Machine learning enabled condensation heat transfer measurement
  • DOI:
    10.1016/j.ijheatmasstransfer.2022.123016
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Siavash Khodakarami;Kazi Fazle Rabbi;Youngjoon Suh;Y. Won;N. Miljkovic
  • 通讯作者:
    Siavash Khodakarami;Kazi Fazle Rabbi;Youngjoon Suh;Y. Won;N. Miljkovic
Computer vision-assisted investigation of boiling heat transfer on segmented nanowires with vertical wettability
计算机视觉辅助研究具有垂直润湿性的分段纳米线上的沸腾传热
  • DOI:
    10.1039/d2nr02447k
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Lee, Jonggyu;Suh, Youngjoon;Kuciej, Max;Simadiris, Peter;Barako, Michael T.;Won, Yoonjin
  • 通讯作者:
    Won, Yoonjin
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Yoonjin Won其他文献

3-D visualization of flow in microscale jet impingement systems
  • DOI:
    10.1016/j.ijthermalsci.2010.08.005
  • 发表时间:
    2011-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yoonjin Won;Evelyn N. Wang;Kenneth E. Goodson;Thomas W. Kenny
  • 通讯作者:
    Thomas W. Kenny
Effects of eccentricity in tube–pod arrangements on hyperloop aerodynamics
管荚排列偏心率对超级高铁空气动力学的影响
  • DOI:
    10.1016/j.ijmecsci.2024.109505
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Jihoon Kim;Changyoung Lee;T. Le;Dokyun Kim;Yoonjin Won;Minki Cho;Jaiyoung Ryu
  • 通讯作者:
    Jaiyoung Ryu
BubbleMask: Autonomous visualization of digital flow bubbles for predicting critical heat flux
BubbleMask:数字流气泡的自主可视化,用于预测临界热通量
  • DOI:
    10.1016/j.ijheatmasstransfer.2023.124656
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Sanghyeon Chang;Youngjoon Suh;Chinmay Shingote;Cho;I. Mudawar;Chirag R. Kharangate;Yoonjin Won
  • 通讯作者:
    Yoonjin Won
Rapid identification of boiling crisis with event-based visual streaming analysis
通过基于事件的视觉流分析快速识别沸腾危机
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Dale Lu;Youngjoon Suh;Yoonjin Won
  • 通讯作者:
    Yoonjin Won

Yoonjin Won的其他文献

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{{ truncateString('Yoonjin Won', 18)}}的其他基金

CONFERENCE: The 2nd micro Flow and Interfacial Phenomena (μFIP)
会议:第二届微流和界面现象 (μFIP)
  • 批准号:
    2230749
  • 财政年份:
    2022
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Collaborative Research: Interactions of Interlayered Nanoporous Graphene with Surrounding Water Molecules
合作研究:层间纳米多孔石墨烯与周围水分子的相互作用
  • 批准号:
    2035584
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
I-Corps: Michelangelo
I军团:米开朗基罗
  • 批准号:
    1854401
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CAREER: Fundamental Investigation of Thin-Film Evaporation Using Crystalline Porous Inverse Opals
职业:使用结晶多孔反蛋白石进行薄膜蒸发的基础研究
  • 批准号:
    1752147
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CONFERENCE: 2018 The 16th International Conference on Nanochannels, Microchannels and Minichannels (Dubrovnik, Croatia, June 10-13, 2018)
会议:2018 年第 16 届纳米通道、微通道和迷你通道国际会议(克罗地亚杜布罗夫尼克,2018 年 6 月 10 日至 13 日)
  • 批准号:
    1832344
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CONFERENCE: 2017 The Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems Orlando, FL
会议:2017 年电子系统热和热机械现象社会间会议佛罗里达州奥兰多
  • 批准号:
    1740393
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
EAGER: Investigation of Nucleate Boiling Phenomena using Hierarchically Porous Constructs with Well-Defined Microstructure
EAGER:使用具有明确微观结构的分层多孔结构研究核沸腾现象
  • 批准号:
    1643347
  • 财政年份:
    2016
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

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基于Pool-seq的洋紫荆花色候选基因的鉴定
  • 批准号:
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纳米涂层表面上池沸腾防垢和强化传热的机理研究
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Elucidation of the whole picture and heat transfer process of pool boiling phenomenon in liquid hydrogen from atmospheric to critical pressure
阐明液氢从常压到临界压力池沸腾现象的全貌及传热过程
  • 批准号:
    23H01349
  • 财政年份:
    2023
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    $ 40万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
CAREER: Universal Dynamics of Thermal Fluctuations in Pool Boiling and Their Role in Predicting Critical Heat Flux
职业:池沸腾中热波动的普遍动力学及其在预测临界热通量中的作用
  • 批准号:
    2145075
  • 财政年份:
    2022
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    $ 40万
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    Continuing Grant
Clarificaion of the relation between wetting front propagation velocity and pool boiling CHF
阐明润湿锋传播速度与池沸腾CHF之间的关系
  • 批准号:
    21K03895
  • 财政年份:
    2021
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    $ 40万
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Transforming pool boiling into a pumpless self-sustained flow boiling system for efficient cooling at high heat fluxes
将池沸腾转变为无泵自持流动沸腾系统,以在高热通量下进行高效冷却
  • 批准号:
    2022614
  • 财政年份:
    2020
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    $ 40万
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CAREER: Bridging Length Scales to Unlock the Mechanistic Interdependence of Phase Interface Dynamics and Heat Transfer in Pool Boiling Processes
职业生涯:桥接长度尺度以解锁水池沸腾过程中相界面动力学和传热的机械相互依赖性
  • 批准号:
    1846165
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    2019
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    $ 40万
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EAGER: Pool Boiling of Water on a Binary Surface
EAGER:二元表面上水的池沸腾
  • 批准号:
    1837853
  • 财政年份:
    2018
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    $ 40万
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Study on mechanism of boiling refrigerant transition by pool boiling of immiscible mixtures in a closed narrow space
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  • 批准号:
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EAGER: Experimental Determination of Non-Evaporating Film Thickness in Pool Boiling
EAGER:池沸腾中非蒸发膜厚度的实验测定
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Study of Separate Effects on Pool boiling Heat Transfer Study
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  • 批准号:
    436501-2012
  • 财政年份:
    2012
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    $ 40万
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    Experience Awards (previously Industrial Undergraduate Student Research Awards)
Exploring New Mechanistic Models for Pool Boiling Experiments on Nano-FIns
探索纳米鳍水池沸腾实验的新机理模型
  • 批准号:
    1134424
  • 财政年份:
    2012
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
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