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

• 批准号: 1258609
• 负责人: Matthias Ihme
• 金额: $ 120万
• 依托单位: Stanford University
• 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
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1258609&HistoricalAwards=false
• 关键词: NSF; DOE; Advanced; Combustion; Engines

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（斯坦福大学）、Sicke/Reuss（密歇根大学）、Fajardo（西密歇根大学）开发和实施基于物理的近壁流体运动和传热预测模型内燃机提供了一种使能技术。该模型源自基础的高保真模拟和最先进的实验，为实施稀薄燃烧和低温燃烧 (LTC) 发动机带来了新的功能。与节流火花点火汽油发动机相比，燃油经济性提高了 12%，预计燃油经济性可提高 20%。使用类柴油燃料运行时，LTC 发动机的增益预计将超过 10%。对于内燃机来说，近壁流并没有从根本上理解，但它对传热有重大影响，并影响壁附近的化学反应性。这些过程反过来会影响 LTC 发动机的稳定性，从而影响其运行效率和污染物的形成。将进行详细的数值模拟和高速激光成像实验，目的是获得对缸内近壁结构的基本了解并开发用于大涡模拟的壁函数模型。将进行光学引擎的验证研究，以证明该模型在各种操作模式和条件下的适用性和性能。这项研究融入了与行业和国家实验室的多项合作活动，以加速工作的基础和应用方面的进展。研究工作融入了一系列创新学习和推广活动，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参与了该项目的各个层面。该项目整合了多项教育和推广活动，包括通过“工程管道”计划重新招募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符合密歇根大学工程学院的使命，即让至少一半的本科生在大学教育中获得国际经验。研究数据通过发动机燃烧网络向公众传播。通过 NSF 立法和公共事务办公室以及“人人享有科学”和“LiveScience.com”等场所，为非专业观众制作和传播文章、视频和其他媒体。