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Détail de l'auteur
Auteur Mohammad H. Khademi
Documents disponibles écrits par cet auteur
Affiner la rechercheNovel recuperative configuration for coupling of methanol dehydration to dimethyl ether with cyclohexane dehydrogenation to benzene / Mohammad Farsi in Industrial & engineering chemistry research, Vol. 49 N° 10 (Mai 2010)
[article]
in Industrial & engineering chemistry research > Vol. 49 N° 10 (Mai 2010) . - pp. 4633–4643
Titre : Novel recuperative configuration for coupling of methanol dehydration to dimethyl ether with cyclohexane dehydrogenation to benzene Type de document : texte imprimé Auteurs : Mohammad Farsi, Auteur ; Mohammad H. Khademi, Auteur ; Abdolhosein Jahanmiri, Auteur Année de publication : 2010 Article en page(s) : pp. 4633–4643 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Methanol Résumé : Coupling energy intensive endothermic reaction systems with suitable exothermic reactions improves the thermal efficiency of processes and reduces the size of reactors. One type of reactor suitable for such a type of coupling is the recuperative reactor. In this work, the catalytic methanol dehydration to dimethyl ether (DME) is coupled with the catalytic dehydrogenation of cyclohexane to benzene in a simulated integrated reactor formed of two fixed beds separated by a wall, where heat is transferred across the surface of tube. A steady state heterogeneous model of the two fixed beds predicts the performance of this novel configuration. The cocurrent mode is investigated, and the simulation results are compared with corresponding predictions for an industrial adiabatic methanol dehydration fixed-bed reactor operated at the same feed conditions. In this coupled reactor, benzene and hydrogen are also produced as additional valuable products in a favorable manner and autothermality is achieved within the reactor. This novel configuration can decrease the temperature of methanol dehydration reaction in the second half of the reactor and shift the thermodynamic equilibrium. Therefore, the methanol conversion and DME mole fraction increase by 1.82% and 1.6%, respectively. The influence of inlet temperature and the molar flow rate of exothermic and endothermic stream on reactor behavior is investigated. The results suggest that coupling of these reactions could be feasible and beneficial. An experimental proof-of-concept is needed to establish the validity and safe operation of the novel reactor. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1000086 [article] Novel recuperative configuration for coupling of methanol dehydration to dimethyl ether with cyclohexane dehydrogenation to benzene [texte imprimé] / Mohammad Farsi, Auteur ; Mohammad H. Khademi, Auteur ; Abdolhosein Jahanmiri, Auteur . - 2010 . - pp. 4633–4643.
Industrial chemistry
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 10 (Mai 2010) . - pp. 4633–4643
Mots-clés : Methanol Résumé : Coupling energy intensive endothermic reaction systems with suitable exothermic reactions improves the thermal efficiency of processes and reduces the size of reactors. One type of reactor suitable for such a type of coupling is the recuperative reactor. In this work, the catalytic methanol dehydration to dimethyl ether (DME) is coupled with the catalytic dehydrogenation of cyclohexane to benzene in a simulated integrated reactor formed of two fixed beds separated by a wall, where heat is transferred across the surface of tube. A steady state heterogeneous model of the two fixed beds predicts the performance of this novel configuration. The cocurrent mode is investigated, and the simulation results are compared with corresponding predictions for an industrial adiabatic methanol dehydration fixed-bed reactor operated at the same feed conditions. In this coupled reactor, benzene and hydrogen are also produced as additional valuable products in a favorable manner and autothermality is achieved within the reactor. This novel configuration can decrease the temperature of methanol dehydration reaction in the second half of the reactor and shift the thermodynamic equilibrium. Therefore, the methanol conversion and DME mole fraction increase by 1.82% and 1.6%, respectively. The influence of inlet temperature and the molar flow rate of exothermic and endothermic stream on reactor behavior is investigated. The results suggest that coupling of these reactions could be feasible and beneficial. An experimental proof-of-concept is needed to establish the validity and safe operation of the novel reactor. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1000086 Using a multilayer perceptron network for thermal conductivity prediction of aqueous electrolyte solutions / Reza Eslamloueyan in Industrial & engineering chemistry research, Vol. 50 N° 7 (Avril 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 7 (Avril 2011) . - pp. 4050-4056
Titre : Using a multilayer perceptron network for thermal conductivity prediction of aqueous electrolyte solutions Type de document : texte imprimé Auteurs : Reza Eslamloueyan, Auteur ; Mohammad H. Khademi, Auteur ; Saeed Mazinani, Auteur Année de publication : 2011 Article en page(s) : pp. 4050-4056 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Electrolyte solution Prediction Thermal conductivity Multiple layer Résumé : In this study, a multilayer perceptron (MLP) network is proposed to predict the thermal conductivity (λ) of an electrolyte solution at atmospheric pressure, over a wide range of temperatures (T) and concentrations (x) based on the molecular weight (M) and number of electrons (n) of the solute. The accuracy of the proposed artificial neural network (ANN) was evaluated through performing a regression analysis on the predicted and experimental values of various aqueous solutions, some of which were not used in the network training. The comparison of the developed MLP network to other correlations recommended in the literature indicates that the proposed neural network outperforms other alternative methods, with respect to accuracy as well as extrapolation capabilities. Besides, others' conductivity correlations are usually suggested for a specific electrolyte solution and a limited range of temperatures and concentrations, while such limitations do not exist for the proposed MLP network. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24027652 [article] Using a multilayer perceptron network for thermal conductivity prediction of aqueous electrolyte solutions [texte imprimé] / Reza Eslamloueyan, Auteur ; Mohammad H. Khademi, Auteur ; Saeed Mazinani, Auteur . - 2011 . - pp. 4050-4056.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 7 (Avril 2011) . - pp. 4050-4056
Mots-clés : Electrolyte solution Prediction Thermal conductivity Multiple layer Résumé : In this study, a multilayer perceptron (MLP) network is proposed to predict the thermal conductivity (λ) of an electrolyte solution at atmospheric pressure, over a wide range of temperatures (T) and concentrations (x) based on the molecular weight (M) and number of electrons (n) of the solute. The accuracy of the proposed artificial neural network (ANN) was evaluated through performing a regression analysis on the predicted and experimental values of various aqueous solutions, some of which were not used in the network training. The comparison of the developed MLP network to other correlations recommended in the literature indicates that the proposed neural network outperforms other alternative methods, with respect to accuracy as well as extrapolation capabilities. Besides, others' conductivity correlations are usually suggested for a specific electrolyte solution and a limited range of temperatures and concentrations, while such limitations do not exist for the proposed MLP network. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24027652