基于非劣解排序遗传算法的航空煤油燃烧特性数值模拟分析

Numerical Simulation of the Combustion Characteristics of Aviation Kerosene Based on Non-dominated Sorting Genetic Algorithm

采用非劣解排序遗传算法对已有的航空煤油化学反应动力学机理进行优化。同时,通过引入醇类及苯类替代燃料,调整替代燃料组合比例,尝试模拟分析不同航空煤油的燃烧特性。将不同组合的替代燃料模拟结果与实际航空煤油实验燃烧数据进行对比分析,可知低比例正烷烃、高比例异构烃、配合部分芳香烃以及微量含氧物质能够较好地反映部分航空煤油着火特性。最终,本研究得到的替代燃料组合由摩尔占比分别为25%的正十六烷(C16H34)、50%的异十六烷(IC16H34)、20%的甲苯(C7H8)和5%的正戊醇(C5H11OH)组成,该骨架机理仅包含102个物质和302个基元反应,能够准确描述6种不同航空煤油的燃烧特性。

This paper proposes to optimize the given chemical reaction mechanisms of aviation kerosene automatically by the non-dominated sorting genetic algorithm.Through introducing alcohol and aromatic hydrocarbon,the combustion characteristics of different aviation kerosene can be accurately simulated by adjusting the proportion of each component.By comparing the simulation results using different combinations to the experimental data of actual aviation kerosene,the ignition characteristics of aviation kerosene can be reproduced by adopting a low proportion of n-alkanes,high proportion of isomeric hydrocarbons,some aromatic hydrocarbons,and small fraction of oxygenated component.The final skeletal mechanism for the aviation kerosene surrogate fuel consists of 102 species and 302 reactions,which includes 25% n-hexadecane(C16H34),50% iso-hexadecane(IC16H34),20% toluene(C7H8),and 5% n-pentanol(C5H11OH).The new developed chemical mechanism is capable of accurately describing the combustion characteristics of six different aviation kerosene.