Agglomeration of particles stored in a box

Dieter Vollath
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引用次数: 0

Abstract

Metallic nanoparticles are an essential part of advanced rocket fuels. Because of difficulties caused by hard ignition, incomplete reaction, and large size of combustion residues metallic particles with conventional particle sizes are unfavorable. However, the application of nanosized metallic particles does not show these disadvantages, in contrast, the application of nanosized metallic particles increases burning rates and reduces the two-phase specific impulse losses associated with solid combustion residues. On the other side, nanosized metallic particles are problematic, too. Nanoparticles, especially metallic ones, have a tendency to agglomerate. The formation of agglomerates leads to a reduction of the total surface of the particles and, therefore, to a reduction of the surface energy. This paper is limited to the process of agglomeration. As agglomeration is a random process, meaningful results are possible only using statistical methods. For this paper, a model with random selection of the particles based on Markow chains was applied. To evaluate the stability of the agglomerated product, the entropy was calculated. The results show that, with increasing agglomeration, the entropy increases exponentially. The thermodynamically better criterion is the free enthalpy; however, in lack of adequate materials data, this criterion could not be applied. Therefore, in general, the consideration presented in this paper are not specific for the addition of a specific metal.

Abstract Image

储存在盒子里的颗粒聚集
金属纳米粒子是先进火箭燃料的重要组成部分。由于点火困难、反应不完全以及燃烧残留物的大尺寸,传统粒度的金属颗粒是不利的。然而,纳米金属颗粒的应用并没有显示出这些缺点,相反,纳米金属粒子的应用增加了燃烧速率,并减少了与固体燃烧残留物相关的两相比脉冲损失。另一方面,纳米尺寸的金属颗粒也有问题。纳米颗粒,特别是金属颗粒,有聚集的趋势。团聚体的形成导致颗粒总表面的减少,并因此导致表面能的减少。本文仅限于凝聚过程。由于凝聚是一个随机过程,只有使用统计方法才能得出有意义的结果。在本文中,应用了一个基于Markow链的粒子随机选择模型。为了评价团聚产物的稳定性,计算了熵。结果表明,随着凝聚度的增加,熵呈指数级增长。热力学上较好的判据是自由焓;然而,由于缺乏足够的材料数据,这一标准无法适用。因此,一般来说,本文中提出的考虑并不是针对添加特定金属而进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.40
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