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
• 负责人: Matthias Ihme
• 金额: $ 45万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2013-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0844587&HistoricalAwards=false
• 关键词: CAREER; Fundamental; Analysis; Computational; Modeling

0844587IhmeThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This research is intended to achieve new, useful insights into control of noise pollution from jet aircraft by studying turbulent reactive flows and developing computational models. Remarkable reductions in jet noise have been achieved with high-bypass turbofan engines, which made combustion noise a leading noise contributor. Furthermore, new clean-combustion technologies have had the unwanted effect of increasing combustion noise. Predictive modeling capabilities are not available largely because of the limited scientific understanding of these phenomena, which forces the implementation of costly passive sound-mitigating programs on the ground.Fundamental understanding of this acoustic radiation will be sought by combining fundamental analysis, development of predictive modeling capabilities on the NSF TeraGrid system, and experimental validation. Direct numerical simulations of benchmark flame configurations will be conducted on turbulent premixed, partially premixed, and diffusion flames to identify and understand the processes controlling acoustic radiation. Using this knowledge, a consistent modeling capability will be developed applicable for reliable noise predictions in combustion LES. This model will be validated in simulations of complex flame configurations for which experimental data are available. Such detailed simulation data will be valuable in identifying acoustic sources, understanding acoustic-thermochemical coupling mechanisms, characterizing sound-refraction effects, and guiding experimental instrumentation. Model capabilities developed in this research can also be integrated into simulation tools for designing advanced combustion systems in aircraft engines, gas turbines, and other applications. This improved understanding of noise mechanism could also be of potential relevance to areas outside the power generation field, such as acoustic sensing and helioseismic applications that deal with solar-acoustic oscillations.A comprehensive education and outreach program is part of this CAREER grant. Its particular emphasis is to recruit underrepresented high-school students from communities in proximity to local airports that are directly affected by aircraft noise pollution. Through summer internships and the close interaction with undergraduate students through classroom projects on specific problems addressing various noise and air pollution aspects they can relate to, these high school students will be encouraged to pursue engineering careers to work on issues that have a direct benefit to their community. Another component of the education plan is to expose a group of motivated and diverse undergraduate students to computational modeling and high-performance computing through research activities, summer schools, and undergraduate curricula. Acquiring such skills early in their careers is increasingly important with the growing use of computational modeling to solve the technological challenges of our world.

0844587 Ihme该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。该研究旨在通过研究湍流反应流和开发计算模型，对喷气式飞机的噪声污染控制取得新的有用见解。高涵道比涡轮风扇发动机显著降低了喷气噪声，这使得燃烧噪声成为主要的噪声来源。 此外，新的清洁燃烧技术具有增加燃烧噪音的有害影响。预测建模能力是不可用的，主要是因为这些现象的有限的科学理解，这迫使昂贵的被动声缓解方案的实施在地面上，这种声辐射的基本理解将寻求通过结合基本分析，预测建模能力的NSF TeraGrid系统的发展，和实验验证。将对湍流预混、部分预混和扩散火焰进行基准火焰结构的直接数值模拟，以识别和理解控制声辐射的过程。利用这一知识，一个一致的建模能力将开发适用于可靠的噪声预测燃烧LES。该模型将在模拟复杂的火焰配置的实验数据是可用的验证。 这种详细的模拟数据将是有价值的识别声源，了解声热化学耦合机制，表征声折射效应，并指导实验仪器。在这项研究中开发的模型功能也可以集成到模拟工具中，用于设计飞机发动机，燃气轮机和其他应用中的先进燃烧系统。这种对噪声机制的更好理解也可能与发电领域以外的领域有潜在的相关性，例如处理太阳声振荡的声传感和日震应用。它特别强调从直接受到飞机噪音污染影响的当地机场附近社区招募代表性不足的高中生。通过暑期实习和密切互动，通过课堂项目与本科生解决各种噪音和空气污染方面的具体问题，他们可以涉及到，这些高中生将被鼓励追求工程职业生涯的工作有一个直接受益于他们的社区的问题。教育计划的另一个组成部分是通过研究活动，暑期学校和本科课程，让一群有动力和多样化的本科生接触计算建模和高性能计算。随着越来越多地使用计算建模来解决我们世界的技术挑战，在职业生涯的早期获得这些技能变得越来越重要。