汽油的化学组成与理化性质的定量关系研究

Research on Chemical Composition-Property Quantitative Relation of Gasoline

关键词:  汽油  烃族组成  GC/MS  逐步线性回归  相关分析

Key words:  gasoline  hydrocarbon composition  GC/MS  stepwise linear regression method  correlation analysis

摘要:

利用GC/MS分析了37个汽油调和组分和成品油的烃族化学组成,将其分为正构烷烃、异构烷烃、环烷烃、芳香烃、异构烯烃、正构烯烃、环状烯烃、双烯烃,测定了辛烷值、馏程、胶质、酸度、色度、诱导期、碘值、密度、饱和蒸汽压等理化性质,考察了我国各种烃类物质间的相互关系以及烃类物质与汽油理化性质的相关性;采用逐步线性回归方法,建立了理化性质与烃类组成关系的回归模型。F检验结果表明,回归模型显著,可为汽油生产工艺的选取、配方优化及产品质量预测提供参考。

Abstract:

37 gasoline blending components and hydrocarbons composition of refined oil are analyzed by GC/MS,including nalkane,isoparaffin,naphthenic hydrocarbon,aromatic hydrocarbon,isoolefine,normal olefin,cyclic olefins,diolefin.The author adopts correlational analysis method to investigate the relativity between hydrocarbon substance and gasoline property;adopts stepwise linear regression method to establish a regression model of property and hydrocarbons composition;and determine the main hydrocarbon substance which exerts influence on the property according to the regression model: aromatic hydrocarbon influences the octane number,10% vaporization temperature,50% vaporization temperature,density and chroma most;olefin,especially the isoolefine and normal olefin,influence 90% vaporization temperature,acidity,colloid,induction period,iodine value and saturated steam pressure most.F test result shows that the regression model is obvious and it can provide reference for predicting the quality of gasoline.