A Unified Manifold-Based Approach to Modeling Turbulent Combustion

基于统一流形的湍流燃烧建模方法

基本信息

  • 批准号:
    1839425
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-01 至 2022-08-31
  • 项目状态:
    已结题

项目摘要

One of the major impediments to the development of new high-efficiency low-emissions combustion systems is the lack of reliable, affordable, predictive computational models for describing turbulent combustion. The primary challenge in developing such models is describing the relationship between combustion processes and turbulence. While a broad range of models have been developed for describing the effects of turbulence on combustion processes, no general models exist for describing the effects of combustion processes on turbulence. Current turbulence models implicitly assume that combustion heat release has no effect on turbulence, a fact contrary to observation. This project will develop a new modeling approach capable of capturing the two-way coupling between combustion processes and turbulence. In the new approach, information about the combustion processes is directly embedded into the turbulence model. The new model will be evaluated against a set of computational databases and experimental databases of laboratory-scale turbulent combustion. With the two-way coupling between combustion processes and turbulence fully captured, the new modeling approach will enable truly predictive simulations of turbulent combustion, facilitating the development of new clean combustion systems. The software implementation of the new modeling approach will also be made publicly available for use by other researchers and in industry.Despite the known influences of combustion heat release on turbulence, notably the phenomenon of counter-gradient-transport, turbulence models in reacting flows are usually adapted from the non-reacting flow community, implicitly assuming no effect of combustion heat release on turbulence. This project will develop a fundamentally new approach for Large Eddy Simulation (LES) of turbulent combustion that accounts for fully coupled interactions between turbulence and combustion. The approach relies on the conditional filtering of not only the thermochemical scalar equations but also the momentum equation with respect to one or more flame structure variables. With this approach, the modeling of turbulence is divorced from the flame dynamics, which are embedded into the conditional filtering, and simplifies closure modeling. After deriving the conditionally filtered governing equations and analyzing their budgets using data from Direct Numerical Simulation (DNS), closure models will be developed using a combination of physics-based approaches and data-based approaches. Ultimately, the unified manifold-based approach will be implemented into a computational tool, benchmarked against current modeling approaches, and validated against experimental measurements of turbulent premixed and stratified flames.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.
开发新型高效低排放燃烧系统的主要障碍之一是缺乏可靠的、可负担的、用于描述湍流燃烧的预测计算模型。发展这种模型的主要挑战是描述燃烧过程和湍流之间的关系。虽然已经开发了广泛的模型来描述湍流对燃烧过程的影响,但是还没有通用的模型来描述燃烧过程对湍流的影响。目前的湍流模型隐含地假设燃烧放热对湍流没有影响,这与观察相反。该项目将开发一种新的建模方法,能够捕捉燃烧过程和湍流之间的双向耦合。在新方法中,燃烧过程的信息直接嵌入到湍流模型中。新模型将根据一组实验室规模的湍流燃烧的计算数据库和实验数据库进行评估。随着燃烧过程和湍流之间的双向耦合被完全捕获,新的建模方法将能够对湍流燃烧进行真正的预测模拟,从而促进新的清洁燃烧系统的开发。新的建模方法的软件实现也将公开提供给其他研究人员和工业界使用。尽管已知燃烧热释放对湍流的影响,特别是反梯度传输现象,反应流中的湍流模型通常是从非反应流社区改编的,隐含地假设燃烧热释放对湍流没有影响。该项目将为湍流燃烧的大涡模拟(LES)开发一种全新的方法,该方法考虑了湍流和燃烧之间的完全耦合相互作用。该方法不仅依赖于热化学标量方程的条件滤波,而且依赖于相对于一个或多个火焰结构变量的动量方程。该方法将湍流模型与火焰动力学模型分离,并将其嵌入到条件滤波中,简化了闭合模型。在推导出有条件过滤的控制方程并使用直接数值模拟(DNS)的数据分析其预算后,将使用基于物理的方法和基于数据的方法相结合来开发闭合模型。最终,统一的基于歧管的方法将被实施到一个计算工具,基准对当前的建模方法,并验证对湍流预混合和分层flames.This奖项的实验测量反映了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(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Closure modeling for the conditional Reynolds stresses in turbulent premixed combustion
湍流预混燃烧中条件雷诺应力的闭合建模
Damköhler number scaling of active cascade effects in turbulent premixed combustion
湍流预混燃烧中主动级联效应的 Damköhler 数标度
  • DOI:
    10.1063/5.0039119
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    MacArt, Jonathan F.;Mueller, Michael E.
  • 通讯作者:
    Mueller, Michael E.
Heat release effects on the Reynolds stress budgets in turbulent premixed jet flames at low and high Karlovitz numbers
  • DOI:
    10.1016/j.combustflame.2020.02.014
  • 发表时间:
    2020-06-01
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Lee, Jinyoung;MacArt, Jonathan F.;Mueller, Michael E.
  • 通讯作者:
    Mueller, Michael E.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Michael Mueller其他文献

Enantioselective Syntheses of Hydroxy Ketones via Benzoylformate Decarboxylase- and Benzaldehyde Lyase-Catalyzed C—C Bond Formation
通过苯甲酰甲酸脱羧酶和苯甲醛裂解酶催化 C—C 键形成对映选择性合成羟基酮
  • DOI:
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    B. Lingen;M. Pohl;A. Demir;A. Liese;Michael Mueller
  • 通讯作者:
    Michael Mueller
Directed synthesis of bio-inorganic vanadium oxide composites using genetically modified filamentous phage
利用转基因丝状噬菌体定向合成生物无机氧化钒复合材料
  • DOI:
    10.1016/j.apsusc.2015.02.029
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Michael Mueller;S. Baik;H. Jeon;Yu;Jungtae Kim;Youngjun Kim
  • 通讯作者:
    Youngjun Kim
Craniofacial Reconstruction by Transport Distraction Osteogenesis: Corticotomy Versus Osteotomy—An Experimental Study
通过运输牵引成骨进行颅面重建:皮质切开术与截骨术——实验研究
Arthroscopic three dimensional autologous chondrocyte transplantation with navigation-guided cartilage defect size assessment
关节镜三维自体软骨细胞移植及导航引导软骨缺损大小评估
  • DOI:
    10.1007/s00402-012-1477-8
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    J. Zellner;Michael Mueller;W. Krutsch;F. Baumann;C. Englert;M. Nerlich;P. Angele
  • 通讯作者:
    P. Angele
Product rule for gauge invariant Weyl symbols and its application to the semiclassical description of guiding centre motion
规范不变Weyl符号的乘积法则及其在引导中心运动半经典描述中的应用
  • DOI:
    10.1088/0305-4470/32/6/014
  • 发表时间:
    1998
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael Mueller
  • 通讯作者:
    Michael Mueller

Michael Mueller的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Michael Mueller', 18)}}的其他基金

Conference: 2023 Princeton Summer School on Combustion and the Environment
会议:2023 年普林斯顿燃烧与环境暑期学校
  • 批准号:
    2310055
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Conference: 2022 Princeton Summer School on Combustion and the Environment
会议:2022 年普林斯顿燃烧与环境暑期学校
  • 批准号:
    2211095
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Computational Modeling of the Soot Size Distribution in Turbulent Reacting Flows: Leveraging Data Science Tools to Rapidly Accelerate Physics-Based Model Development and Validation
湍流反应流中烟灰尺寸分布的计算建模:利用数据科学工具快速加速基于物理的模型开发和验证
  • 批准号:
    2028318
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Student Travel Grant - 2016 Spring Technical Meeting of the Eastern States Section of the Combustion Institute
学生旅费补助 - 燃烧研究所东部各州分会 2016 年春季技术会议
  • 批准号:
    1623659
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
SBIR Phase I: Development of Wide Area Radiation Sources for Wastewater Treatment
SBIR 第一阶段:开发用于废水处理的广域辐射源
  • 批准号:
    1013887
  • 财政年份:
    2010
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

相似国自然基金

基于高速可重构匹配网络的VHF宽带多路跳频Manifold耦合器基础问题研究
  • 批准号:
    61001012
  • 批准年份:
    2010
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

CRII:CIF: Towards A Manifold-based Framework for the Brain-Computer Interface
CRII:CIF:迈向基于流形的脑机接口框架
  • 批准号:
    2153492
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: New Methods, Theory and Applications for Nonsmooth Manifold-Based Learning
协作研究:非平滑流形学习的新方法、理论和应用
  • 批准号:
    2243650
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Generative manifold modeling of set of datasets based on optimal transport distance
基于最佳传输距离的数据集生成流形建模
  • 批准号:
    21K12061
  • 财政年份:
    2021
  • 资助金额:
    $ 30万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Collaborative Research: New Methods, Theory and Applications for Nonsmooth Manifold-Based Learning
协作研究:非平滑流形学习的新方法、理论和应用
  • 批准号:
    1953210
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: New Methods, Theory and Applications for Nonsmooth Manifold-Based Learning
协作研究:非平滑流形学习的新方法、理论和应用
  • 批准号:
    1953189
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
The research of submaniolds in a quaternionic kaehler manifold based on the twistor program
基于扭量程序的四元凯勒流形子流形研究
  • 批准号:
    15K04839
  • 财政年份:
    2015
  • 资助金额:
    $ 30万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Application of manifold-based image analysis to identify subtle changes in digitally-captured pathology samples
应用基于流形的图像分析来识别数字捕获的病理样本中的细微变化
  • 批准号:
    LP130100230
  • 财政年份:
    2013
  • 资助金额:
    $ 30万
  • 项目类别:
    Linkage Projects
Manifold-Based System for Passive-Active Spectrum Sharing
基于流形的无源-有源频谱共享系统
  • 批准号:
    1248010
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Nonlinear observer design based on stable manifold theory with applications
基于稳定流形理论的非线性观测器设计及应用
  • 批准号:
    23560525
  • 财政年份:
    2011
  • 资助金额:
    $ 30万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of manifold learning based texture analysis for lesions within noise included medical images
基于流形学习的纹理分析的开发,用于包含医学图像的噪声中的病变
  • 批准号:
    23700190
  • 财政年份:
    2011
  • 资助金额:
    $ 30万
  • 项目类别:
    Grant-in-Aid for Young Scientists (B)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了