Prediction of thiophene removal from diesel using [BMIM][AlCl4] in EDS Process: GA-ANFIS and PSO-ANFIS modeling |
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| Authors: | Morteza Esfandyari Mojtaba Esfandyari Dariush Jafari |
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| Affiliation: | 1. Department of Chemical Engineering, University of Bojnord, Bojnord, Iran;2. Department of Chemical Engineering, Petroleum University of Technology, Abadan, Iran;3. Chemical Engineering Department, Bushehr Branch, Islamic Azad University, Bushehr, Iran |
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| Abstract: | In this study, the treatment capability of 1-butyl-3-methylimidazolium tetrachloroaluminate BMIM] AlCl4] ionic liquid was investigated in a diesel fuel containing thiophene. The effects of operating parameters including the volumetric ratio of ionic liquid to model fuel, extraction temperature and time have been studied. Then, a neuro-fuzzy inference system (ANFIS) tuned by particle swarm optimization (PSO) algorithm has been developed to predict the sulphur removal from diesel fuel using BMIM]AlCl4] in EDS process. The outputs were in a good agreement with the experimental data, and the model tuned by PSO predicts the data better than ANFIS and ANFIS tuned by GA. |
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| Keywords: | ANFIS Diesel GA ionic liquid Sulphur removal PSO |
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