Fuel-Type Classification and Parameters Prediction by Gas Liquid ChromatographyAnalysis

摘要

There is a research effort that envisions having a vehicle mounted petroleumanalysis system that could travel close to the frontlines and would provide rapid test results. This system would quicken results feedback time and increase the scope of analyses by using new technologies that could predict several fuel properties and parameters. One approach under consideration for use in this system is Gas Liquid-Phase Chromatography (GLC). To simplify the GLC chromatograph of fuel samples, the data was collected as a series of time-segmented regions. These regions were defined to simulate separations by normal alkanes carbon chain length. The GLC data was analyzed with PIROUETTE correlation software (INFOMETRIX, Seattle, WA) to assign the fuel's type and to predict a selected number of fuel's physical properties. To conduct this study, sixty-seven (67) fuel samples were used of which fifteen were JET A-1/JET As, twelve were JP-4s, nine were JP-8s seven were MOGAS, and three were DF-2s. Preliminary results have included a 100% correct classification as to fuel type and predictions of the 10%, 50%, and 90% distillation. and final boiling point temperatures; and the densities of the samples with relatively low errors of prediction. jg.