Documents disponibles écrits par cet auteur

Artificial Neural Network Modeling of Surface Tension for Pure Organic Compounds / Aliakbar Roosta in Industrial & engineering chemistry research, Vol. 51 N° 1 (Janvier 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 1 (Janvier 2012) . - pp. 561–566 Titre : Artificial Neural Network Modeling of Surface Tension for Pure Organic Compounds Type de document : texte imprimé Auteurs : Aliakbar Roosta, Auteur ; Payam Setoodeh, Auteur ; Abdolhossein Jahanmiri, Auteur Année de publication : 2012 Article en page(s) : pp. 561–566 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Organic  compounds Résumé : Surface tension as an important characteristic in much scientific and technological research is a function of liquid materials’ physical properties. Thus, it is desirable to have an accurate correlation between effective parameters and surface tension. This study investigates the applicability of artificial neural networks as an efficient tool for the prediction of pure organic compounds’ surface tensions for a wide range of temperatures. The experimental data gathered for training and verification of the network are related to a wide variety of materials such as alkanes, alkenes, aromatics, and sulfur, chlorine, fluorine, and nitrogen containing compounds. The most accurate network among several constructed configurations has one hidden layer with 20 neurons. The average absolute deviation percentage obtained for 1048 data points related to 82 compounds is 1.57%. The results demonstrate that the multilayer perceptron network could be an appropriate lookup table for the determination of surface tension as a function of physical properties. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2017459 [article] Artificial Neural Network Modeling of Surface Tension for Pure Organic Compounds [texte imprimé] / Aliakbar Roosta, Auteur ; Payam Setoodeh, Auteur ; Abdolhossein Jahanmiri, Auteur . - 2012 . - pp. 561–566. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 1 (Janvier 2012) . - pp. 561–566 Mots-clés : Organic  compounds Résumé : Surface tension as an important characteristic in much scientific and technological research is a function of liquid materials’ physical properties. Thus, it is desirable to have an accurate correlation between effective parameters and surface tension. This study investigates the applicability of artificial neural networks as an efficient tool for the prediction of pure organic compounds’ surface tensions for a wide range of temperatures. The experimental data gathered for training and verification of the network are related to a wide variety of materials such as alkanes, alkenes, aromatics, and sulfur, chlorine, fluorine, and nitrogen containing compounds. The most accurate network among several constructed configurations has one hidden layer with 20 neurons. The average absolute deviation percentage obtained for 1048 data points related to 82 compounds is 1.57%. The results demonstrate that the multilayer perceptron network could be an appropriate lookup table for the determination of surface tension as a function of physical properties. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2017459

Start - up and dynamic analysis of a novel thermally coupled reactor for the simultaneous production of methanol and benzene / Mohammad Hasan Khademi in Industrial & engineering chemistry research, Vol. 50 N° 21 (Novembre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 21 (Novembre 2011) . - pp. 12092-12102 Titre : Start - up and dynamic analysis of a novel thermally coupled reactor for the simultaneous production of methanol and benzene Type de document : texte imprimé Auteurs : Mohammad Hasan Khademi, Auteur ; Mohammad Reza Rahimpour, Auteur ; Abdolhossein Jahanmiri, Auteur Année de publication : 2011 Article en page(s) : pp. 12092-12102 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Production  Reactor Résumé : Coupling energy intensive endothermic reaction systems with suitable exothermic reactions improves the thermal efficiency of processes, achieving the autothermality within the reactor, reducing the size of the reactors, and achieving a multiple reactants-multiple products configuration. In this study, a dynamic heterogeneous model for a novel thermally coupled reactor-containing methanol synthesis reactions and cyclohexane dehydrogenation-is developed to consider the startup and transient response of the system. This heat-exchanger reactor consists of two fixed beds separated by a wall, where heat is transferred across the surface of tube from the exothermic side to the endothermic side. The proposed model was validated against conventional methanol synthesis reactor, and a good agreement was achieved. Dynamic simulation results for the co-current mode have been investigated to present the response of the reactor outlet temperature, methanol yield, and cyclohexane conversion in the cases of a step change in the initial molar flow rate and inlet temperature of both sides. The challenges posed by the transient operation of thermally coupled reactor are identified to avoid severe issues that can arise in the course of operating the reactor (such as reactor extinction). The results suggest that control of this coupled reactor could be feasible and beneficial. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24697526 [article] Start - up and dynamic analysis of a novel thermally coupled reactor for the simultaneous production of methanol and benzene [texte imprimé] / Mohammad Hasan Khademi, Auteur ; Mohammad Reza Rahimpour, Auteur ; Abdolhossein Jahanmiri, Auteur . - 2011 . - pp. 12092-12102. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 21 (Novembre 2011) . - pp. 12092-12102 Mots-clés : Production  Reactor Résumé : Coupling energy intensive endothermic reaction systems with suitable exothermic reactions improves the thermal efficiency of processes, achieving the autothermality within the reactor, reducing the size of the reactors, and achieving a multiple reactants-multiple products configuration. In this study, a dynamic heterogeneous model for a novel thermally coupled reactor-containing methanol synthesis reactions and cyclohexane dehydrogenation-is developed to consider the startup and transient response of the system. This heat-exchanger reactor consists of two fixed beds separated by a wall, where heat is transferred across the surface of tube from the exothermic side to the endothermic side. The proposed model was validated against conventional methanol synthesis reactor, and a good agreement was achieved. Dynamic simulation results for the co-current mode have been investigated to present the response of the reactor outlet temperature, methanol yield, and cyclohexane conversion in the cases of a step change in the initial molar flow rate and inlet temperature of both sides. The challenges posed by the transient operation of thermally coupled reactor are identified to avoid severe issues that can arise in the course of operating the reactor (such as reactor extinction). The results suggest that control of this coupled reactor could be feasible and beneficial. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24697526