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Systematic errors in mixing measurements using filtered Rayleigh scattering in supersonic flows

机译:在超音速流动中使用过滤的瑞利散射混合测量的系统误差

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When performing non-reacting mixing enhancement experimental studies in supersonic flow, helium is often used as an injectant which serves as a simulant gas for hydrogen fuel. The resulting distribution of helium mole fraction in the binary mixture of air and helium can be quantified using filtered Rayleigh scattering (FRS). The FRS technique requires two independent experiments in supersonic flow, one with helium injection and the other with air injection. The helium mole fraction is retrieved under the key assumptions that the number density profiles and the extent of the Doppler shift that is associated with each of the two independent experiments at the measuring plane are identically the same. This work is centered on the analysis of the impact of a departure from the aforementioned assumptions with the aid of a reduced-order model developed for a canonical rectangular jet in supersonic flow. The results, derived from the implementation of the model, are used to identify key driving phenomena that concurrently contribute to violate the key assumptions and are compared and discussed in the light of available experimental data. Additionally, the analysis suggests that the newly developed model can be used in the design of FRS experiments by minimizing the extent of mismatch in the number density profile and thus reducing the systematic bias error associated with the mixture's composition measurements.
机译:当在超声波流动中进行非反应混合增强实验研究时,氦通常用作注射剂,其用作用于氢燃料的模拟气体。通过滤光瑞利散射(FRS)可以量化空气和氦的二元混合物中氦摩尔分数的分布。 FRS技术需要两个独立的超音速实验,一个具有氦气喷射器,另一个具有空气喷射。在与测量平面上的两个独立实验中的每一个相关联的关键假设下检索氦摩尔分数在数量密度分布和多普勒移位的程度上相同。借助于在超声波流动中为规范矩形射流开发的阶数模型,该工作以分析偏离偏离假设的影响为中心。源自模型的实施的结果用于识别同时有助于违反关键假设的关键驾驶现象,并根据可用的实验数据进行比较和讨论。另外,该分析表明,通过最小化数量密度分布中的错配程度,可以在FRS实验设计中使用新开发的模型,从而降低与混合物的组成测量相关的系统偏置误差。

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