Investigation on ignition performance prediction model of typical model afterburner
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摘要:
针对蒸发槽、驻涡和凹腔3种典型值班结构的加力燃烧室模型，基于试验和数值仿真研究，建立了适用于3种燃烧室的贫油点火预测模型。从Lefebvre半经验点火模型出发，分析了进气温度、压力和流量对燃油雾化以及贫油点火边界的综合影响机制，替换了其中燃油粒径的半经验模型，形成全部基于进口边界的全经验点火预测模型形式。该模型能够显式体现进气流量对点火的有利和不利作用机制，且3种燃烧室模型贫油点火边界的预测与试验数据误差均小于10%。该建模方法对建立工程级加力燃烧室贫油点火预测模型提供了参考。
Abstract:Based on the experiments and numerical simulation, the prediction models of lean oil ignition for three kinds of afterburner with evaporative slot, cavity and cavity strut were established. According to the Lefebvre semi-empirical ignition model, the comprehensive influence mechanism of inlet temperature, pressure and flow rate on fuel atomization and depleted fuel ignition boundary was analyzed. The semi-empirical model of fuel particle size was replaced, and a fully empirical ignition prediction model based on inlet boundary was formed. The model can explicitly reflect the favorable and unfavorable action mechanisms of inlet flow on ignition, and the error of prediction and experiment data of lean oil ignition boundary of the three combustion chamber models was less than 10%. The model method could provide a reference for the establishment of a prediction model for lean oil ignition in engineering afterburner.
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图 8 改进模型预测结果随Ma变化趋势
Figure 8. Prediction results of the corrected model change trend with Ma
图 9 改进模型预测结果随温度变化趋势
Figure 9. Variation trend of corrected model prediction results with temperature
图 10 改进模型预测结果随压力变化趋势
Figure 10. Variation trend of corrected model prediction results with pressure
表 1 试验进气范围
Table 1. Range of experiment inlet
进口参数 最小值 最大值 温度/K 320 900 压力/kPa 40 100 质量流量/（kg/s） 0.05 0.7 马赫数 0.11 0.37 
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表 2 Lefebvre模型中的参数和结果
Table 2. Parameters and results of Lefebvre model
参数 蒸发槽 驻涡 凹腔支板 K 0.000159 0.000102 0.0016 最大误差/% 32.4 29 33.7 R2 0.926 0.986 0.82
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表 3 改进模型中的参数和结果
Table 3. Parameters and results of corrected model
参数 蒸发槽 驻涡 凹腔支板 $ {C}_{0} $ 0.95 0.74 3.31 $ {C}_{1} $ 2.61 1.46 1.01 $ {C}_{2} $ 0.186 0.98 0.7 $ {C}_{3} $ 1.12 1.18 1.3 $ {R}^{2} $ 0.993 0.998 0.983 最大误差/% 8.59 3.5 6.4
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