Experimental Study of the Carbon Deposits Accumulation in the Oxygen-Methane Model Gas Path

Q3 Mathematics
S. Fedorov, D.F. Slesarev, D. Isakov
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引用次数: 0

Abstract

The paper considers mechanisms of the carbon deposits formation on the metal surface at contact with the gas phase containing products of incomplete combustion of the oxygen-methane generator gas. The first mechanism is the socalled mechanism of metal dust formation, which products remain on the wall surface and form the carbon deposits, the second is the mechanism of carbon deposits formation associated with the carbon particles in the gas flow, which are being deposited on the wall. An experimental system was developed with the working section being a model path of the oxygen-methane generator gas of the reducing composition; and accumulation of the carbon deposits was experimentally studied. When selecting performance characteristics of the experimental system, features of the liquid rocket engine gas path were taken into account; therefor, the experimental system was having characteristics closer to the expected characteristics of the full-scale gas path. Intensities of the deposit formation on samples of metallic material and reference quartz were compared. It was established that the main mechanism for the carbon deposits formation was precipitation of soot contained in the generator gas flow onto the wall of the gas path. The number of deposits was determined by weight. The range of the fuel components ratio was identified, where formation of the deposits was minimal
氧-甲烷模式气路碳成藏实验研究
本文研究了与含氧甲烷发生器气体不完全燃烧产物气相接触时金属表面积碳层形成的机理。第一种机制是所谓的金属粉尘形成机制,其产物留在壁面上形成积碳;第二种机制是与气体流动中的碳颗粒有关的积碳形成机制,这些积碳颗粒沉积在壁面上。建立了以工作段为还原组分氧-甲烷发生气模型路径的实验系统;并对碳沉积过程进行了实验研究。在选择实验系统的性能特性时,考虑了液体火箭发动机气体路径的特性;因此,实验系统的特性更接近全尺寸气路的预期特性。比较了金属材料样品和参考石英样品的沉积强度。研究结果表明,产气过程中烟尘在气路壁上的沉淀是形成积碳层的主要机理。沉积物的数量由重量决定。确定了燃料组分比的范围,其中沉积物的形成是最小的
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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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