Fast prediction of cetane number of automotive diesel based on FT-IR
The cetane number(CN)is an important index to measure the ignition performance of diesel in compression combustion engine,and is also one of the key quality indexes of automotive diesel when leaving the factory.Fourier Transform Infrared(FTIR)spectroscopy and stoichiometric methods were used to establish a quantitative analysis model of cetane value of automotive diesel oil by kernel partial least squares(KPLS).The correlation coefficient R was 0.97,the mean deviation was 0.05,and the standard deviation was 0.05,indicating that the model was established by a good method.The model was further verified and evaluated.The cetane number correlation coefficient R of 20 samples in the validation set was 0.95,and Root mean square error of prediction(RMSEP)was 0.44.It shows that the prediction effect of the model is very good,and it can meet the basic requirements of the detection accuracy of vehicle diesel oil in production.
cetane numberFourier Transform Infraredstoichiometric methodskernel partial least squares
万方数据
维普
