Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

Browse

Author: search.filters.author.Bedda, KahinaHas files: Yes

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Prediction of smoke points of kerosene distillates using simple laboratory tests: artificial neural network versus conventional correlations
    (Pleiades Publishing, 2023) Bedda, Kahina
    In the present study, an artificial neural network (ANN) model and three well-known correlations were used to predict the smoke points of 430 kerosene distillates from their specific gravities and distillation temperatures. The ANN model was developed in MATLAB software, it is a feedforward multilayer perceptron with a single hidden layer. The optimal number of neurons in the hidden layer as well as the best training algorithm and the best values of connection weights and biases were determined by trial and error using the nftool command. The early stopping technique by cross-validation was employed to avoid overfitting of the model. The developed model composed of 17 sigmoid hidden neurons and one linear output neuron was trained with the Levenberg-Marquardt backpropagation algorithm. This model allowed the prediction of smoke points with a coefficient of determination of 0.852, an average absolute deviation of 1.4 mm and an average absolute relative deviation of 6%. Statistical analysis of the results indicated that the prediction accuracy of the ANN model is higher than that of the conventional correlations. Indeed, in addition to its effectiveness, the proposed ANN method for the estimation of smoke points has the advantages of low-cost and easy implementation, as it relies on simple laboratory tests. Thus, the developed ANN model is a reliable tool that can be used in petroleum refineries for fast quality control of kerosene distillates.
  • No Thumbnail Available
    Item
    Extractive purification of hydro-treated gas oil with N-methylpyrrolidone
    (Serbian Chemical Society, 2017) Bedda, Kahina; Hamada, Boudjema; Kuzichkin, Nikolay V.; Semikin, Kirill V.
    The purification of hydro-treated gas oil by liquid–liquid extraction with N-methylpyrrolidone as solvent was studied. The results showed that this method, under appropriate experimental conditions, reduced the sulphur con­tent of the gas oil from 174 to 28 ppm, the nitrogen content was decreased from 58 to 15 ppm, the aromatics content was diminished from 27.1 to 13.8 % and the polycyclic aromatic hydrocarbons were totally extracted. The obtained refined gas oil could be used to produce clean diesel fuel, thus protecting the environ­ment