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在经典均匀搅拌反应器理论(Perfect Stirred Reactor)的基础上,对Lefebvre贫熄模型中的燃烧体积和燃烧空气量进行改进,建立起燃烧室冷态流场与热态贫熄性能的对应关系,进而达到从冷态流场预测热态贫熄性能的目的。采用商业软件Fluent对燃烧室的冷态速度场和燃料浓度场进行数值模拟,通过燃料的可燃边界定义出理论的可燃区体积(Vf)和进入可燃区的回流空气量(mr)两项关键参数组成燃烧负荷参数Vf.mr,并通过油量迭代逼近(Fuel Iterative Approximation)的方法达到对燃烧室贫熄边界的预测。通过与实验结果的对比表明:燃烧室的冷态流场与其热态贫熄性能是相互关联的,燃烧负荷参数与熄火油气比近似成线性关系;采用油量迭代逼近的方法对燃烧室的贫熄边界进行预测,预测精度控制在±8.4%。
Based on the classical Perfect Stirred Reactor, the combustion volume and the amount of combustion air in Lefebvre lean-out model are improved to establish the corresponding relationship between the flow field in the combustion chamber and the thermal lean out performance. So as to achieve the purpose of predicting the thermal lean-out performance from the cold flow field. The commercial software Fluent is used to simulate the cold velocity field and the fuel concentration field in the combustion chamber. The critical fuel volume (Vf) and the amount of return air (mr) entering the combustible zone are defined by the combustible boundary of the fuel. The combustion load parameter Vf.mr is composed, and the prediction of the lean boundary of the combustion chamber is achieved by the method of Fuel Iterative Approximation. The comparison between the experimental results and the experimental results shows that the cold flow field in the combustion chamber is correlated with the thermal lean out performance, and the combustion load parameter is linearly proportional to the out-quenched gas-oil ratio. The iterative approximation method Extinction boundary prediction, prediction accuracy control in ± 8.4%.