CAREER: Non-agglomerated Nanoparticle Synthesis in Low Pressure Flames

摘要CTS-9703357 这是一项在低压平面火焰中生产非团聚纳米颗粒的研究。 生产在低压火焰的目标组的材料，包括钇稳定的氧化锆，氮氧化硅，氧化铝，氧化锆，二氧化钛，和氧化钨，证明。 参数研究评估了工艺条件对合成纳米粉末的尺寸、数量和形态的影响。 建模和诊断工作集中在一个单一的纳米粉末种类，预测颗粒大小，生产率，并在给定的系统过程输入的团聚程度的目标。 气相化学机制包括在模型中沿着与颗粒形成和生长的机制。 多物种激光诱导荧光应用于火焰，以量化的气相化学环境，而激光吸收散射测量探针采样被用来量化的颗粒尺寸和数量密度场。 几个基线生产条件的特点和建模和模型进行了改进，以匹配实验观察，模拟模型，然后产生不同的粉末种类。 这项工作展示了一种高速率，固有的可扩展的生产一系列工业上重要的非团聚纳米粉末的技术。 纳米粉末生产的工艺模型和开发。 这些模型扩展了目前对气相颗粒合成的理解，并允许合成过程的计算优化。 对于放大操作，这些模型有助于确定工业反应器的适当过程诊断，并能够开发闭环控制算法。

ABSTRACT CTS-9703357 This is an investigation of non-agglomerated nanoparticle productiol in low-pressure flat flames. Production in low-pressure flames of a target group of materials including yttrium-stabilized zirconia, silicon oxynitride, alumina, zirconia, titania, and tungsten oxide, is demonstrated. Parametric studies assess the effects of process conditions on the size, quantity, and morphology of the synthesized nanopowders. Modeling and diagnostic work centers on a single nanopowder species with the goal of predicting particle sized, production rate, and degree of agglomeration given system process inputs. A gas-phase chemical mechanism is included in the model along with mechanisms for particles formation and growth. Multispecies laser-induced fluorescence is applied to the flames to quantify the gas-phase chemical environment, while laser absorption scattering measurements are probe sampling are used to quantify the particle size- and number-density fields. Several baseline production conditions are characterized and modeled and the model is refined to match the experimental observations, Analogous models are then produced for different powder species. This work demonstrates a technique for high-rate, inherently scalable production of a series of industrially significant non-agglomerated nanopowders. Process models for nanopowder production and developed. Such models extend present understanding of gas-phase particle synthesis and allow computational optimization mf the synthesis process. For scale-up operations, the models help in identifying appropriate process diagnostics for industrial reactors and enable development of closed-loop control algorithms.