Correlation of PVR, Octane Numbers and Distillation Curve of Gasoline with Data from a Thermal Wave Interferometer

摘要: Abstract The ASTM standard methods for experimental determination of gasoline properties, such as octane numbers and Reid vapour pressure (PVR) are, in general, expensive, time consuming cumbersome. Therefore, the study development faster cheaper is great industrial scientific interest, particularly when one thinks large samples to be tested. However, a mixture hydrocarbons presents very complex chemical properties that require use several analytical techniques, so any new method will need validated through series statistical techniques. This contribution aimed at validation Thermal Wave Interferometer (IOT), conceived developed by Vargas et al. Norte Fluminense State University — UENF, (MON RON), distillation curve PVR gasohol. IOT determines these mathematical correlation thermal diffusivity components present gasoline, or gasohol, sample. involved multivariate regression technique, namely SIMCA (Soft Independent Modelling Class Analogy) classification sample data identification outliers models prediction numbers. In this 97 various types commercial latter containing up 30% v/v ethanol, were prepared had their corresponding RON) determined CFR motor diffusivities IOT. These then correlated PLS (partial least squares) model, based on 89 variables, was AKI, parameter which mean value sample, i.e. AKI = (MON+RON)/2. Better results obtained model built points (Initial boiling point, 10% evaporated) data, (30-870s) centred smoothed, giving an RMSEC =1.832 RMSEV=2.270. indicate promising, fast cheap provided user takes into account inherent errors method. Thus, may useful tool undertaking screening analysis, i.e., selection must submitted more expensive