基于铝(艾尔) 的集体部分尺寸分发,为有效地从研磨的煤燃烧识别微粒物质的模式的一个改进方法在这研究被建议。导出煤的微粒物质的粒子尺寸分布实际上有三个模式,这被发现,而非就仅仅二。极其细小的模式主要通过蒸发和冷凝过程被产生。粗糙的模式被熔融的矿物质的结合首先形成,当发现得最新的中央模式在好剩余灰粒子上被归因于蒸发的种类的异构的冷凝作用或吸附时。硫(S) 的集体部分尺寸分发的详细调查进一步证明集体部分的合理性和有效性在识别三个粒子模式缩放艾尔的分发。结果证明粒子模式的数字能不仅在艾尔的集体部分尺寸分布被识别而且他们的尺寸边界能是精确地定义的更多。这个方法在阐明提供新卓见粒子形成机制和他们的物理化学的特征。
Based on the mass fraction size distribution of aluminum (AI), an improved method for effectively identifying the modes of particulate matter from pulverized coal combustion is proposed in this study. It is found that the particle size distributions of coal-derived particulate matter actually have three modes, rather than just mere two. The ultrafine mode is mainly generated through the vaporization and condensation processes. The coarse mode is primarily formed by the coalescence of molten minerals, while the newly-found central mode is attributed to the heterogeneous condensation or adsorption of vaporized species on fine residual ash particles. The detailed investigation of the mass fraction size distribution of sulfur (S) further demonstrates the rationality and effectiveness of the mass fraction size distribution of the AI in identifying three particle modes. The results show that not only can the number of particle modes be identified in the mass fraction size distributions of the AI but also can their size boundaries be more accurately defined. This method provides new insights in elucidating particle formation mechanisms and their physico-chemical characteristics.