Autoignition Characteristics and Chemistry of Surrogate Diesel Fuels at Conditions Relevant to Advanced Engines

1402231 Sung首席研究员建议开发柴油燃料燃烧的综合化学动力学模型。 该方法对许多其他应用的燃料研究也很重要，包括航空，推进，工业燃烧，发电和其他几种化学过程。化学动力学模型和基本方法将通过主要研究者的研究网站、演讲和出版物广泛传播。PI的研究小组参加了NSF GK-12计划，当地高中学生通过实验室图尔斯参观和演示来体验正在进行的研究，以提高对STEM领域的兴趣。提出了一项为期三年的研究计划，以填补与柴油相关的燃料组分和混合物的基本燃烧数据的空白，这些燃料通常被提议用于下一代发动机。这些新获得的数据，沿着可用的文献数据，将用于开发和验证预测化学动力学模型（与劳伦斯利弗莫尔国家实验室合作），以预测发动机相关条件下的燃烧化学。具体而言，自燃特性的贫化学计量比的各种燃料的混合物将在压力和温度范围内的10-75巴和600-1100 K，分别进行了研究。快速压缩机将用于确定点火延迟，而物种演变将使用原位中红外吸收光谱和非原位气体采样进行测量。 拟议研究的结果将大大有助于缩短设计周期，以提高发动机效率并减少排放。

1402231SungThe principal investigator proposes to develop comprehensive chemical kinetic models for diesel fuel combustion. The methodology will also be important to fuel research for many other applications, including aviation, propulsion, industrial combustion, power generation, and several other chemical processes. The chemical kinetic models and the underlying methodology will be widely disseminated through the principal investigator's research website, presentations, and publications. The PI's research group participates in the NSF GK-12 program, where local high school students experience ongoing research through laboratory tours and presentations, to promote interest in STEM fields. A three-year research program is proposed to fill in gaps in fundamental combustion data on fuel components and mixtures relevant to diesel fuel that is commonly proposed for use in next-generation engines. These newly-acquired data, along with the available literature data, will be used to develop and validate predictive chemical kinetic models (in collaboration with Lawrence Livermore National Laboratory) to predict combustion chemistry at engine relevant conditions. Specifically, autoignition characteristics of lean-to-stoichiometric mixtures of various fuels will be investigated at pressures and temperatures in the ranges of 10-75 bar and 600-1100 K, respectively. Rapid compression machines will be used to determine ignition delay while species evolution will be measured using in-situ mid-IR absorption spectroscopy and ex-situ gas sampling. The outcome of the proposed study will greatly help reduce the design cycle for improved engine efficiency and reduced emissions.