课题基金 / 基金详情

ITR: Scalable Portable Algorithms for Thermal Radiation/Turbulence/Chemistry Interactions

ITR: Scalable Portable Algorithms for Thermal Radiation/Turbulence/Chemistry Interactions
ITR:用于热辐射/湍流/化学相互作用的可扩展便携式算法
批准号:
0121573
负责人:
Michael Modest
金额:
$175.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-09-15 至 2007-08-31

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中文摘要
翻译
在许多重要的燃烧应用中,热传递由来自燃烧气体和烟灰的热辐射主导。 即使在没有湍流相互作用的情况下,燃烧气体的热辐射也是极其复杂的;准确和有效的预测现在才成为可能。 湍流和辐射之间的耦合由于其极端的复杂性,到目前为止基本上被忽略了,尽管初步计算表明,湍流-辐射相互作用(TRI)可以使火焰的辐射损失增加一倍以上。 集成有限体积和有限元方法,随机方法的基础上的概率密度函数(PDF),射线跟踪蒙特卡罗计划,利用每种方法的优势,可以潜在地产生一个强大的计算工具来描述湍流,化学反应和热辐射之间的高度非线性相互作用在湍流火焰在广泛的条件。 一个跨学科的合作PI团队,以及来自行业和国家实验室的合作者,将使用创新的IT为基础的方法来解决这些问题。 本研究的目标是开发模块化,便携式,可扩展的,并行计算工具,解决所有三种现象的相互作用。
英文摘要
In many important combustion applications, heat transfer is dominated by thermal radiation from combustion gases and soot. Thermal radiation from combustion gases, even in the absence of turbulence interactions, is extremely complicated; accurate and efficient predictions are only now becoming possible. The coupling between turbulence and radiation has to date essentially been ignored due to their extreme complexity, although preliminary calculations have shown that turbulence-radiation interactions (TRI) can more than double the radiative loss from a flame. Integration of finite volume and finite element methods, stochastic methods based on a probability density function (PDF), and ray tracing Monte Carlo schemes, exploiting the strengths of each method, can potentially produce a formidable computational tool to describe the highly nonlinear interaction between turbulence, chemical reactions and thermal radiation in turbulent flames over a broad range of conditions. An interdisciplinary team of Co-PI's, together with collaborators from industry and national laboratories, will address these issues using an innovative IT-based approach. The goal of this study is to develop modular, portable, scalable, parallel computational tools that address the interactions of all three phenomena.
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Collaborative Research: NSF/DOE Advanced Combustion Engines: Radiation Heat Transfer and Turbulent Fluctuations in IC Engines - Toward Predictive Models to Enable High Efficiency
  • 批准号:
    1258635
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $23.65万
  • 财政年份:
    2013
  • 负责人:
    Michael Modest
  • 依托单位:
Radiation Tools for the Determination of Temperatures and Concentrations from Radiometric Measurements in Laminar and Turbulent Combustion Systems
  • 批准号:
    0966627
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.5万
  • 财政年份:
    2010
  • 负责人:
    Michael Modest
  • 依托单位:
Narrow-Banded Radiative Properties and Heat Transfer Models for High-Temperature Combustion Gases
LCE: Numerical Study of Turbulence-Radiation Interactions in Reactive Flows
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis