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3D modeling of transformation of gaseous pollutants in the high-pressure turbine of an aircraft engine

机译:飞机发动机高压涡轮机中气态污染物转化的3D建模

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Aircraft emissions contribute to global climate change and regional air pollution near airports. Understanding the formation and the transformation of emissions in the aircraft engine is essential to properly quantify the environmental impact and air pollution. However, precise investigation of chemical process in the turbine is challenging because of the complexity of the transformation process in the complex flow relating to the moving blade at high temperature and high pressure. We present here, the first published model study of 3D chemical formations inside a high-pressure turbine and first time to compare three numerical solutions (1D, 2D and 3D calculations) of transformation of trace species inside an aircraft engine. The model has simulated the evolution of principal precursor pollutant gases (NOx and SOx) and other species (hydrogen, oxygen species and carbon oxides). Our results also indicated strong dissimilarities in chemical transformations of 3D calculations. In comparing the three solutions, the results obtained showed that the difference of mole fractions of species can be under predicted by 75% between 1D and 2D calculations and in the comparison of 2D and 3D calculation, the under predicted difference may be 90%. (C) 2020 Beihang University. Production and hosting by Elsevier B.V. on behalf of KeAi.
机译:飞机排放有助于全球气候变化和机场附近的区域空气污染。了解飞机发动机排放的形成和转型对于适当量化环境影响和空气污染至关重要。然而,由于在高温和高压下与移动刀片有关的复合流程中的变换过程的复杂性,精确地研究了涡轮机中的化学过程是具有挑战性的。我们在此出示,第一次出版了高压涡轮机内的3D化学形成的模型研究,第一次比较了三种数值解决方案(1D,2D和3D计算)在飞机发动机内部的痕量种类的转化。该模型模拟了主要前体污染物(NOx和SOX)和其他物种(氢,氧物质和碳氧化物)的演变。我们的结果还表明3D计算化学转化的强烈差异。在比较三种溶液时,所得到的结果表明,在1D和2D计算中,物种的摩尔级分的差异可以在2D和3D计算的比较中预测75%,但在预测差异下可能为90%。 (c)2020年北冈大学。 Bealsvier B.V.生产和托管。代表柯伊。

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