On the basis of the simulation results of premixed jet flame using liquid hydrocarbon fuel, an optimization method for the component of aviation kerosene surrogate fuels based on chemical reactor network (CRN) model is proposed. Firstly, computational fluid dynamics (CFD) numerical simulation is carried out for three hydrocarbon fuel jet flames of n-dodecane (C₁₂H₂₆), n-decane (C₁₀H₂₂), n-heptane (C₇H₁₆) to obtain the characteristics of the temperature field under different working conditions. Based on this, the CRN partition topological geometry of jet flame is generated. The genetic algorithm is used to optimize the parameters of each reactor, and the algebraic relationship between the CRN parameter and the inlet parameters (dimensionless inlet temperature, Reynolds number and mixing fraction) is obtained. Then, topological geometry of the CRN which is suitable for different working conditions is established, and the best CRN model of hydrocarbon fuel jet flame is constructed. Combined with the experimental data, the optimal proportion of three-component surrogate fuels is determined by the above method. As a result, the optimal ratio is 56.41% C₁₂H₂₆, 26.36% C₁₀H₂₂ and 17.23% C₇H₁₆. Finally, the CFD numerical simulation was performed and the results agreed well with the experimental data, indicating the effectiveness of optimization method for the CRN-based aviation kerosene surrogate fuels. This method can be applied to the component optimization of aviation kerosene surrogate fuels.

基于液态碳氢燃料预混射流火焰的模拟结果，提出了基于化学反应器网络（CRN）模型的航空煤油替代燃料组分的优化方法。首先，对正十二烷（C ₁₂ H ₂₆），正癸烷（C ₁₀ H ₂₂），正庚烷（C ₇ H ₁₆）的三种烃类燃料喷射火焰进行了计算流体动力学（CFD）数值模拟。）以获得不同工作条件下的温度场特征。基于此，生成了射流火焰的CRN分区拓扑几何。利用遗传算法对各反应器的参数进行优化，得到CRN参数与入口参数（无量纲入口温度，雷诺数和混合分数）之间的代数关系。然后，建立了适用于不同工况的CRN的拓扑几何，并建立了碳氢燃料喷射火焰的最佳CRN模型。结合实验数据，通过上述方法确定了三组分替代燃料的最佳比例。其结果是，最佳比例是56.41％C ₁₂ H ^ ₂₆，26.36％C ₁₀H ₂₂和17.23％C ₇ H ₁₆。最后，进行了CFD数值模拟，结果与实验数据吻合良好，表明了基于CRN的航空煤油替代燃料优化方法的有效性。该方法可应用于航空煤油替代燃料的成分优化。