NSF/DOE Partnership on Advanced Combustion Engines: A Universal Combustion Model to Predict Premixed and Non-premixed Turbulent Flames in Compression Ignition Engines

NSF/DOE 高级燃烧发动机合作伙伴关系：预测压燃发动机中预混和非预混湍流火焰的通用燃烧模型

• 批准号: 1258646
• 负责人: Tianfeng Lu
• 金额: $ 80万
• 依托单位: University of Connecticut
• 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: 2013-09-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1258646&HistoricalAwards=false
• 关键词: NSF; DOE; Partnership; Advanced; Combustion

Abstract#1258646Lu, TianfengThe proposed research seeks to develop a universal turbulent combustion model that is applicable to mixed regimes of combustion, including premixed and non-premixed flames with limit phenomena, including local ignition and extinction, under IC engine conditions. The model is based on the chemical explosive mode analysis (CEMA), which can identify local limit phenomena and elementary flamelets, and will be validated against high-fidelity direct numerical simulations (DNS). The universal combustion model is capable of eliminating the need for empirical identification of local premixed and non-premixed conditions in practical engine simulations using large eddy simulations (LES) and Reynolds-averaged Navier-Stokes (RANS) simulations. The low-cost and reliable numerical simulations lead to a predictive tool for engine combustion, and expedite the design of advance IC engines with improved fuel efficiency and reduced emissions. The collaboration among University of Connecticut, Sandia National Laboratory and Argonne National Laboratory is expected to bridge the needs of fundamental combustion research and practical engine simulations and to create rich opportunities for postdoctoral mentoring and graduate education. Research opportunities will also be created through UConn?s outreach programs for undergraduate and high school teachers. The PIs will collaborate with major CFD software companies to incorporate the new combustion model into commercial software and thus benefit the engine community at large.

摘要#1258646Lu，Tianfeng所提出的研究旨在开发一个通用的湍流燃烧模型，该模型适用于内燃机条件下的混合燃烧状态，包括具有极限现象的预混和非预混火焰，包括局部点火和熄灭。 该模型是基于化学爆炸模式分析（CEMA），它可以识别局部极限现象和基本的火焰，并将对高保真直接数值模拟（DNS）进行验证。 通用燃烧模型能够消除使用大涡模拟（LES）和雷诺平均纳维尔-斯托克斯（RANS）模拟的实际发动机模拟中对局部预混和非预混条件的经验识别的需要。 低成本和可靠的数值模拟导致发动机燃烧的预测工具，并加快设计先进的内燃机，提高燃油效率和减少排放。 康涅狄格大学、桑迪亚国家实验室和阿贡国家实验室之间的合作有望弥合基础燃烧研究和实际发动机模拟的需求，并为博士后指导和研究生教育创造丰富的机会。 研究机会也将通过康州大学创造？为本科生和高中教师提供的外展计划。 PI将与主要的CFD软件公司合作，将新的燃烧模型纳入商业软件，从而使整个发动机社区受益。