NSF/DOE Advanced Combustion Engines: Development of a Dynamic Wall Layer Model for LES of Internal Combustion Engines

NSF/DOE 先进内燃机:内燃机 LES 动态壁层模型的开发

基本信息

  • 批准号:
    1258609
  • 负责人:
  • 金额:
    $ 120万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-10-01 至 2017-09-30
  • 项目状态:
    已结题

项目摘要

CBET 1258609PI (Institution): Ihme (Stanford U), Sicke/Reuss (U Michigan), Fajardo (W. Mich. U.) The development and implementation of a physics-based predictive model for near-wall fluid motion and heat transfer in internal combustion engines provides an enabling technology. The model, derived from fundamental, high-fidelity simulations and state-of-the art experiments, leads to new capabilities for the implementation of lean-burn and low-temperature combustion (LTC) engines. 12% fuel economy gains over throttled spark-ignition gasoline engines were demonstrated and up to 20% are expected. Operated on Diesel-like fuels, gains for LTC engines are expected to be in excess of 10%. The near-wall flow is not fundamentally understood for in-ternal combustion engines, but has leading impact on heat transfer and affects chemical reactivity near walls. These processes in turn affect the stability and thus the efficiency of LTC engine op-eration and pollutant formation. Detailed numerical simulation and high-speed laser imaging ex-periments will be conducted with the objective of obtaining fundamental understanding about in-cylinder near-wall structure and developing a wall-function model for large-eddy simulations. Validation studies in optical engines will be performed to demonstrate the applicability and per-formance of the model for a wide range of operating modes and conditions. Integrated into this research are several collaborative activities with industry and national laboratories to accelerate progress at both the fundamental as well as the application end of the work.The research work is integrated into a range of innovative learning and outreach activities that contribute to recruiting and educating the scientific and engineering work force. Undergraduate, graduate research assistants, and postdoctoral researchers are involved at all levels with the pro-ject. Several educational and outreach activities are integrated into this project, including the re-cruitment of high-school students through the "Engineering Pipeline" program and opportunities to participate in internal research exchange programs. These unique learning and outreach ele-ments are in line with the University of Michigan's College of Engineering's mission to have at least half of the undergraduate students gain an international experience as part of their College education. Research data are disseminated to the public via the Engine Combustion Network. Production and dissemination of articles, videos, and other media for lay audiences are facilitated through NSF's Office of Legislative and Public Affairs and venues such as "Science for Every-one" and "LiveScience.com."
CBET 1258609PI(机构):IHME(Stanford U),Sicke/Reuss(U Michigan),Fajardo(W。Mich。U.)(W.Mich。U.),用于内燃料发动机中近壁流体运动和热传递的基于物理学的预测模型的开发和实施。该模型源自基本,高保真模拟和最先进的实验,为实施瘦燃烧和低温燃烧(LTC)发动机提供了新的功能。展示了超过燃油经济性的12%,预计可预测高达20%。在类似柴油机的燃料上运行,LTC发动机的收益预计将超过10%。对于内部燃烧发动机,近乎壁的流量尚未从根本上理解,而是对传热的影响并影响墙壁附近的化学反应性。这些过程反过来影响了LTC发动机操作和污染物形成的稳定性,从而影响了稳定性。将进行详细的数值仿真和高速激光成像,以获取对缸内近壁结构的基本理解,并为大型模拟开发壁功能模型。将在光学发动机中进行验证研究,以证明该模型在各种操作模式和条件上的适用性和外观。整合到这项研究中是与行业和国家实验室的几项合作活动,以加速工作的基本和应用程序的进步。研究工作纳入了一系列创新的学习和外展活动,这些活动有助于招募和教育科学和工程劳动力。本科生,研究生研究助理和博士后研究人员都在各个层面上都参与了专业精神。该项目纳入了一些教育和外展活动,包括通过“工程管道”计划重新申请高中生,以及参加内部研究交流计划的机会。这些独特的学习和外展元素与密歇根大学工程学院的任务一致,即至少有一半的本科生获得国际经验作为他们的大学教育的一部分。研究数据通过发动机燃烧网络传播给公众。 NSF的立法和公共事务办公室以及“每个人的科学”和“ livescience.com”等文章,视频和其他媒体的生产和传播是通过NSF的立法和公共事务办公室促进的。

项目成果

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Matthias Ihme其他文献

Experimental demonstration of a two-stage porous media burner for low-emission ammonia combustion
  • DOI:
    10.1016/j.proci.2024.105491
  • 发表时间:
    2024-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Guillaume Vignat;Thorsten Zirwes;Émeric Boigné;Matthias Ihme
  • 通讯作者:
    Matthias Ihme
FireBench: A High-fidelity Ensemble Simulation Framework for Exploring Wildfire Behavior and Data-driven Modeling
FireBench:用于探索野火行为和数据驱动建模的高保真集成仿真框架
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Qing Wang;Matthias Ihme;Cenk Gazen;Yi;John Anderson
  • 通讯作者:
    John Anderson
Augmenting filtered flame front displacement models for LES using machine learning with a posteriori simulations
使用机器学习和后验模拟增强 LES 的过滤火焰锋位移模型
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Jen Zen Ho;Mohsen Talei;D. Brouzet;Wai Tong Chung;Pushan Sharma;Matthias Ihme
  • 通讯作者:
    Matthias Ihme
Analysis of weak secondary waves in a rotating detonation engine using large-eddy simulation and wavenumber-domain filtering
使用大涡模拟和波数域滤波分析旋转爆震发动机中的弱次级波
  • DOI:
    10.1016/j.combustflame.2024.113387
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Guillaume Vignat;D. Brouzet;M. Bonanni;Matthias Ihme
  • 通讯作者:
    Matthias Ihme
Predictions of instantaneous temperature fields in jet-in-hot-coflow flames using a multi-scale U-Net model
  • DOI:
    10.1016/j.proci.2024.105330
  • 发表时间:
    2024-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Jordan A.C. Kildare;Wai Tong Chung;Michael J. Evans;Zhao F. Tian;Paul R. Medwell;Matthias Ihme
  • 通讯作者:
    Matthias Ihme

Matthias Ihme的其他文献

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{{ truncateString('Matthias Ihme', 18)}}的其他基金

Conference: Western States Section of the Combustion Institute Spring Meeting 2022
会议:燃烧研究所西部各州分会 2022 年春季会议
  • 批准号:
    2210261
  • 财政年份:
    2022
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
OAC Core: Small: Enabling High-fidelity Turbulent Reacting-Flow Simulations through Advanced Algorithms, Code Acceleration, and High-order Methods for Extreme-scale Computing
OAC 核心:小型:通过高级算法、代码加速和超大规模计算的高阶方法实现高保真湍流反应流模拟
  • 批准号:
    1909379
  • 财政年份:
    2019
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
Fundamental Physical Understanding of Matrix-stabilized Combustion in Porous Media
多孔介质中基体稳定燃烧的基本物理理解
  • 批准号:
    1800906
  • 财政年份:
    2018
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
EAGER: Development of a Heterogeneous Multiscale Model as Scale-Bridging Method for Chemically Reacting Systems
EAGER:开发异质多尺度模型作为化学反应系统的尺度桥接方法
  • 批准号:
    1347565
  • 财政年份:
    2013
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
CAREER: Fundamental Analysis and Computational Modeling of Acoustic Radiation in Turbulent Reacting Flows
职业:湍流反应流中声辐射的基础分析和计算模型
  • 批准号:
    1347566
  • 财政年份:
    2013
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
EAGER: Development of a Heterogeneous Multiscale Model as Scale-Bridging Method for Chemically Reacting Systems
EAGER:开发异质多尺度模型作为化学反应系统的尺度桥接方法
  • 批准号:
    1139338
  • 财政年份:
    2011
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
CAREER: Fundamental Analysis and Computational Modeling of Acoustic Radiation in Turbulent Reacting Flows
职业:湍流反应流中声辐射的基础分析和计算模型
  • 批准号:
    0844587
  • 财政年份:
    2009
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant

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