Study on Density, Viscosity and Ethanol Content of Ethanol Diesel Based on Raman Spectroscopy

被引:1
|
作者
Ouyang Ai-guo [1 ]
Zhang Yu [1 ]
Tang Tian-yi [1 ]
Liu Yan-de [1 ]
机构
[1] East China Jiaotong Univ, Sch Mechatron Engn, Nanchang 330013, Jiangxi, Peoples R China
关键词
Raman spectroscopy; Ethanol diesel; Partial least squares regression; Band screening;
D O I
10.3964/j.issn.1000-0593(2018)06-1772-07
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Ethanol diesel as a clean fuel is a good substitute for diesel fuel. Different content of ethanol diesel oil viscosity is different, and the ethanol in the ethanol content of diesel fuel affects the quality of combustion, so we need have an instrument or method to achieve Ethanol Diesel Ingredients and Main Indicators Online Monitoring. In this paper, Savitzkv-Golay smoothing (SG), multiple scattering correction (MSC), differential processing (1st D and 2nd D), standard normal variable correction (SNV), and so on were used to calculate the original Raman spectra. The PLSR model of ethanol diesel density, viscosity and ethanol content was established by using different pretreatment methods for the original Raman spectra of different concentrations of ethanolic diesel. Compared with different pretreatment methods, the ethanol content and viscosity of PLSR model established by S-G+2ndD pretreatment has the best effect, the prediction set R-P is 0. 930 and 0. 918 respectively, RMSEP is 1. 237 and 0. 034 respectively. The PLSR model of ethanol diesel density after SG-1stD pretreatment is the best method. The optimal set of R-p is 0. 962, RMSEP is 0. 14 X10(-2). The wavelength model was selected by Recursive partial least squares(RPLS), Uninformative variables elimination(UVE), Competitive Adaotive Reweighted Sampling(CRES), Successive Projections Algorithm (SPA) wavelength screening method after S-G+2nd D pretreatment, and the PLSR model was established. The prediction model of ethanol content of ethanol diesel oil was optimized by SPA -CARS wavelength screening method. The Rp and RMSEP were 0. 978 1 and 0. 825 5. The results show that the method can be used to predict the main indexes such as density, viscosity and ethanol content of ethanol diesel.
引用
收藏
页码:1772 / 1778
页数:7
相关论文
共 10 条
  • [1] Method for the Discrimination of the Variety of Potatoes with Vis/NIR Spectroscopy
    Chen Zheng-guang
    Li Xin
    Fan Xue-jia
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36 (08) : 2474 - 2478
  • [2] Comparison of Raman and IR spectroscopy for quantitative analysis of gasoline/ethanol blends
    Corsetti, Stella
    McGloin, David
    Kiefer, Johannes
    [J]. FUEL, 2016, 166 : 488 - 494
  • [3] [焦纬洲 Jiao Weizhou], 2014, [石油学报. 石油加工, Acta Petrolei Sinica. Petroleum Processing Section], V30, P945
  • [4] Detection of discoloration in diesel fuel based on gas chromatographic fingerprints
    Krakowska, Barbara
    Stanimirova, Ivana
    Orzel, Joanna
    Daszykowski, Michal
    Grabowski, Ireneusz
    Zaleszczyk, Grzegorz
    Sznajder, Miroslaw
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2015, 407 (04) : 1159 - 1170
  • [5] Leone AP, 2012, CURR ANAL CHEM, V8, P283
  • [6] Li C., 2016, FOOD CHEM
  • [7] [李外 Li Wai], 2013, [化工进展, Chemical Industry and Engineering Progress], V32, P740
  • [8] Shuai S., 2012, J AUTOMOT SAF ENERGY, V3, P200, DOI DOI 10.3969/J.ISSN.1674-8484.2012.03.002
  • [9] [于雷 Yu Lei], 2015, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V31, P103
  • [10] 陈玉锋, 2015, [理化检验. B, 化学分册, Physical Testing and Chemical Analysis Part B: Chemical Analysis], V51, P558