Enhancing the Scientific Understanding of Nanoparticle Formation in Flames

燃烧产生的纳米颗粒，如烟灰，已知对人类健康和环境有不利影响。就健康影响而言，煤烟颗粒与心脏病和肺病有关，沿着其他各种健康并发症。在环境影响方面，烟尘被认为是仅次于二氧化碳的全球变暖的最重要因素之一，因为它具有强辐射特性。 由于这些原因，更严格的法规现在针对汽车和航空发动机的颗粒物排放。为了开发预测模型和更好的燃烧室设计，需要对碳烟形成有基本的了解。 随着更严格的法规的实施，工业界强烈希望精确的预测烟尘模型来帮助设计过程。然而，有一个迫切需要更基本的了解，许多烟尘的形成和氧化过程知之甚少。 这些过程包括多环芳烃（PAH）的形成，烟尘的开始，烟尘的成核，烟尘的增长，通过添加小的碳氢化合物物种，和烟尘的增长，通过PAH吸附在表面上。我的研究的长期愿景是开发一个强大的烟尘形成模型，可以预测火焰中烟尘的质量，粒度分布和聚集体结构。 该模型需要预测当我们改变火焰的温度、压力、燃料结构、混合和停留时间时，烟灰的形成如何变化。 为了实现这一点，模型需要基于基本过程，并避免拟合参数（如今天的情况）。 需要在各种火焰条件下进行详细的实验测量，以研究这些过程并严格验证模型。短期目标包括：（1）解决目前还没有很好理解的每一个碳烟形成过程，（2）开发一个全面的数据集的碳烟形成的一组相关的燃料分子和（3）开发一个实验装置预混停滞火焰。 因此，将开发一个烟灰形成模型，该模型（1）捕获正在发生的基本物理学，并减少目前适合实验的调整参数的数量，（2）关注与实际燃料相关的燃料分子，（3）在广泛的非预混和预混火焰实验中得到验证。烟尘形成的多学科性质使其成为热科学研究领域学生的优秀培训领域。它提供了一个全面的背景在热科学的理解炭黑火焰需要的过程，如流体动力学，质量和热量传递，热力学，气溶胶动力学，化学反应，相变和辐射传热的知识。 这为学生提供了广泛的热科学领域的机会。*

Combustion-derived nanoparticles, such as soot, are known to have adverse effects on human health and the environment. In terms of health effects, soot particles have been linked to heart and lung disease, along with various other health complications. In terms of environmental effects, soot is considered to be one of the most significant contributors to global warming, behind CO2, due to its strong radiative properties. For these reasons, stricter regulations are now targeting particulate emissions in both automotive and aviation engines.****A fundamental understanding of soot formation is needed in order to develop predictive models and better combustor designs. With stricter regulations come into place, industry has a strong desire for accurate predictive soot models to aid the design process. However there is an urgent need for a more fundamental understanding as many soot formation and oxidation processes are poorly understood. These processes include polycyclic aromatic hydrocarbon (PAH) formation, soot inception, soot nucleation, soot growth by the addition of small hydrocarbon species, and soot growth by PAH adsorption on the surface.****The long term vision of my research is to develop a robust model of soot formation that can predict the mass, size distribution and aggregate structure of soot in flames. The model would need to predict how the soot formation changes as we change the flame's temperature, pressure, fuel structure, mixing and residence time. In order to achieve this, the model would need to be based on fundamental processes and avoid fitted parameters (as is the case today). Detailed experimental measurements are needed in a variety of flame conditions to investigate these processes and rigorously validate the model.****Short term objectives include (1) addressing each soot formation process that is currently not well understood, (2) developing a comprehensive dataset of soot formation for a relevant set of fuel molecules and (3) developing an experimental setup for premixed stagnation flames. Thus a model of soot formation will be developed that (1) captures the fundamental physics that is occurring and reduces the number of adjusted parameters that are currently fitted to experiments, (2) focuses on fuel molecules relevant to practical fuels and (3) is validated on a wide range of non-premixed and premixed flame experiments.****The multidisciplinary nature of soot formation makes it an excellent training area for students in the thermo-sciences research area. It provides a comprehensive background in the thermo-sciences as understanding sooting flames requires knowledge of processes such as fluid dynamics, mass and heat transfer, thermodynamics, aerosol dynamics, chemical reactions, phase change and radiation heat transfer. This opens opportunities for students in a wide range of thermo-science fields.****