内燃机工程2025，Vol.46Issue(5)：1-8,8.DOI:10.13949/j.cnki.nrjgc.2025.05.001
柴油多组分模型燃料的目标参数耦合关系
Coupling Relationship Among Target Parameters for Construction of Multi-Component Surrogate Fuel of Diesel
摘要
Abstract
Taking diesel as an example,the influences of weight values on the calculated values of target parameters were investigated by means of the genetic optimization algorithm for the construction of its finite-component surrogate fuel.The correlations among various target parameters were analyzed,and the mechanism behind such influences and correlations was explored from the perspective of surrogate fuel composition.The effects caused by changes in the number of candidate components were also examined.The result shows that when adjusting weight values,the calculated values of cetane number,lower heating value and soot threshold index change slightly.The amount of substance ratio of H and C and molecular weight are influenced by the weight greatly,and the influence of the weight is higher at the lower weight.When the number of surrogate fuel candidate components is 19,the correlation among target parameters is closely related to density,viscosity and soot threshold index.However,when the number of surrogate fuel candidate components is 4,the key target parameters for correlation are viscosity,soot threshold index and surface tension.For the 19-candidate component surrogate fuel,the number of component concentrations affected by density and molecular weight is the largest.For the 4-candidate component surrogate fuel,surface tension and molecular weight have the greatest impact on the number of component concentrations affected.关键词
柴油模型燃料/遗传算法/目标参数/权重/耦合机制Key words
diesel surrogate fuel/genetic algorithm(GA)/target parameter/weight/coupling mechanism分类
能源科技引用本文复制引用
梁俊杰,王瑞阳,李格升,衡怡君,张千龙..柴油多组分模型燃料的目标参数耦合关系[J].内燃机工程,2025,46(5):1-8,8.基金项目
国家自然科学基金项目(52171321) （52171321）
武汉市知识创新专项项目(2023020201010092) National Natural Science Foundation of China(52171321) （2023020201010092）
Knowledge Innovation Program of Wuhan(2023020201010092) （2023020201010092）
