Methane Impurity Effect in the Acetylene Decomposition on Size and Morphology of the Appearing Soot Particles

Q3 Mathematics
E. I. Shkolnikov, A. Grigorenko, I. A. Lipatova, V. Kumar, M. S. Vlaskin
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引用次数: 0

Abstract

The paper studied the effect of acetylene or its methane mixture pressure at decomposition in the laboratory cylindrical reactor with spark ignition to obtain the acetylene soot. Size range of the formed particles and their surface morphology were determined by scanning and transmission electron microscopy. Specific surface area distributions over the pore radii and evaluation of the acetylene soot samples particle size were identified using the adsorption method of limited evaporation. All the experimental methods used confirmed significant decrease in the acetylene soot particle size at the increase in the acetylene initial pressure during its decomposition. Accordingly, the particles specific outer surface increased, but the microporous specific surface of the particles outer shell practically was not changing. Methane present in the mixture with acetylene in decomposition significantly increased the particles size and reduced both the specific outer surface and the microporous surface of the soot particles shell. It is shown that the proposed method for analyzing distributions of the acetylene soot specific surface area over the pore radii makes it possible to estimate with high accuracy particle sizes, total soot specific surface area and contribution of various factors forming this surface
乙炔分解过程中甲烷杂质对烟灰颗粒尺寸和形貌的影响
在实验室火花点火的圆柱形反应器中,研究了乙炔或其甲烷混合物的分解压力对乙炔烟尘的影响。通过扫描电镜和透射电镜测定了所形成颗粒的尺寸范围和表面形貌。采用有限蒸发吸附法测定了乙炔烟尘样品的比表面积分布和粒径。采用的实验方法均证实,乙炔分解过程中,随着乙炔初始压力的增大,烟灰粒径明显减小。因此,颗粒的比外表面增大,但颗粒外壳的微孔比表面几乎没有变化。在分解过程中,乙炔混合物中存在的甲烷显著增大了烟尘颗粒的粒径,降低了烟尘颗粒壳的比外表面和微孔表面。结果表明,所提出的分析乙炔烟炱比表面积在孔半径上分布的方法,可以较准确地估计出颗粒尺寸、总烟炱比表面积以及形成该表面的各种因素的贡献
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
40
期刊介绍: The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.
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