Documents disponibles écrits par cet auteur

Comparative studies on morphological, electrochemical, and mechanical properties of S-polyvinyl chloride based heterogeneous cation-exchange membranes with different resin ratio loading / A. R. Khodabakhshi in Industrial & engineering chemistry research, Vol. 49 N° 18 (Septembre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8477–8487 Titre : Comparative studies on morphological, electrochemical, and mechanical properties of S-polyvinyl chloride based heterogeneous cation-exchange membranes with different resin ratio loading Type de document : texte imprimé Auteurs : A. R. Khodabakhshi, Auteur ; S. S. Madaeni, Auteur ; Hosseini, S. M., Auteur Année de publication : 2010 Article en page(s) : pp. 8477–8487 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mechanical  properties Résumé : Heterogeneous types of ion exchange membranes were prepared from S-polyvinyl chloride (S-PVC) as binder and tetrahydrofuran as solvent. Cation exchange resin powder was used in casting solutions to make ion exchange membranes with cationic functional groups. The relationship between resin ratio loading and morphological, electrochemical, and mechanical properties of prepared membranes were studied and evaluated. Membrane potential measurements were performed in monovalent (NaCl) and bivalent (BaCl2) electrolyte solutions in order to observe the selectivity of these membranes for different types of counterions. The results reveal that an increment of resin ratio loading leads to an increase of ion exchange capacity, fixed ion concentration, ionic permeability, current efficiency, water content, hydrophilicity, transport number, conductivity, and specific surface area for prepared membranes. However, the electrical resistance, energy consumption, membrane oxidative stability, and mechanical properties were decreased. Moreover, prepared membranes show different properties for monovalent (Na+) ions and bivalent (Ba2+) ions. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9014205 [article] Comparative studies on morphological, electrochemical, and mechanical properties of S-polyvinyl chloride based heterogeneous cation-exchange membranes with different resin ratio loading [texte imprimé] / A. R. Khodabakhshi, Auteur ; S. S. Madaeni, Auteur ; Hosseini, S. M., Auteur . - 2010 . - pp. 8477–8487. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8477–8487 Mots-clés : Mechanical  properties Résumé : Heterogeneous types of ion exchange membranes were prepared from S-polyvinyl chloride (S-PVC) as binder and tetrahydrofuran as solvent. Cation exchange resin powder was used in casting solutions to make ion exchange membranes with cationic functional groups. The relationship between resin ratio loading and morphological, electrochemical, and mechanical properties of prepared membranes were studied and evaluated. Membrane potential measurements were performed in monovalent (NaCl) and bivalent (BaCl2) electrolyte solutions in order to observe the selectivity of these membranes for different types of counterions. The results reveal that an increment of resin ratio loading leads to an increase of ion exchange capacity, fixed ion concentration, ionic permeability, current efficiency, water content, hydrophilicity, transport number, conductivity, and specific surface area for prepared membranes. However, the electrical resistance, energy consumption, membrane oxidative stability, and mechanical properties were decreased. Moreover, prepared membranes show different properties for monovalent (Na+) ions and bivalent (Ba2+) ions. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9014205

Modeling the volumetric properties of ionic liquids using modified perturbed hard - sphere equation of state / Hosseini, S. M. in Industrial & engineering chemistry research, Vol. 51 N° 2 (Janvier 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 2 (Janvier 2012) . - pp. 758-766 Titre : Modeling the volumetric properties of ionic liquids using modified perturbed hard - sphere equation of state : Application to pure and binary mixtures Type de document : texte imprimé Auteurs : Hosseini, S. M., Auteur ; J. Moghadasi, Auteur ; M. M. Papari, Auteur Année de publication : 2012 Article en page(s) : pp. 758-766 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Thermodynamic  properties  Binary  mixture  Equations  of  state  Ionic  liquid  Modeling Résumé : In this paper, an alternative corresponding states correlation was applied to the perturbed hard-sphere equation of state (PHS EOS) to improve the predictive power of this EOS for modeling the volumetric properties of ionic liquids (ILs) and their mixtures. Two temperature-dependent parameters appearing in the EOS have been determined using two reliable scaling constants, the surface tension and the liquid density, both at room temperature. The predictive power of the proposed model has been assessed by comparing the results with 2366 experimental data points over a broad range of pressores and temperatures. The overall average absolute deviation (AAD) of the calculated densities from literature data was found to be 0.77%. Generally, this work shows that the PHS EOS based on the surface tension property of ILs outperforms the PHS EOS based on critical properties. Moreover, the improved PHS EOS has been applied to predict the volumetric properties of 16 binary mixtures involving ILs. The second partners of binary mixtures studied in this work are water, ethanol, methanol, acetone, acetonitrile, propylene carbonate, and I-propanol. Furthermore, the binary mixtures of ILs have also been studied. From 1685 data points examined for the aforementioned binary mixtures, the AAD of the calculated densities and the excess volumes from those reported in the literature were found to be 0.38 and 0.56%, respectively. Finally, the nonadditivity behavior of the studied mixtures is also investigated. The sign of the nonadditivity parameter indicates a tendency toward attraction between the unlike molecules in the mixture. However, the value of this parameter is not large, which implies that the hard-sphere model is able to model the excess properties of the present mixtures. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25476409 [article] Modeling the volumetric properties of ionic liquids using modified perturbed hard - sphere equation of state : Application to pure and binary mixtures [texte imprimé] / Hosseini, S. M., Auteur ; J. Moghadasi, Auteur ; M. M. Papari, Auteur . - 2012 . - pp. 758-766. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 2 (Janvier 2012) . - pp. 758-766 Mots-clés : Thermodynamic  properties  Binary  mixture  Equations  of  state  Ionic  liquid  Modeling Résumé : In this paper, an alternative corresponding states correlation was applied to the perturbed hard-sphere equation of state (PHS EOS) to improve the predictive power of this EOS for modeling the volumetric properties of ionic liquids (ILs) and their mixtures. Two temperature-dependent parameters appearing in the EOS have been determined using two reliable scaling constants, the surface tension and the liquid density, both at room temperature. The predictive power of the proposed model has been assessed by comparing the results with 2366 experimental data points over a broad range of pressores and temperatures. The overall average absolute deviation (AAD) of the calculated densities from literature data was found to be 0.77%. Generally, this work shows that the PHS EOS based on the surface tension property of ILs outperforms the PHS EOS based on critical properties. Moreover, the improved PHS EOS has been applied to predict the volumetric properties of 16 binary mixtures involving ILs. The second partners of binary mixtures studied in this work are water, ethanol, methanol, acetone, acetonitrile, propylene carbonate, and I-propanol. Furthermore, the binary mixtures of ILs have also been studied. From 1685 data points examined for the aforementioned binary mixtures, the AAD of the calculated densities and the excess volumes from those reported in the literature were found to be 0.38 and 0.56%, respectively. Finally, the nonadditivity behavior of the studied mixtures is also investigated. The sign of the nonadditivity parameter indicates a tendency toward attraction between the unlike molecules in the mixture. However, the value of this parameter is not large, which implies that the hard-sphere model is able to model the excess properties of the present mixtures. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25476409

Prediction of thermal conductivity and convective heat transfer coefficient of nanofluids by local composition theory / Hosseini, S. M. in Journal of heat transfer, Vol. 133 N° 5 (Mai 2011) 

Public ISBD [article]  in Journal of heat transfer > Vol. 133 N° 5 (Mai 2011) . - pp. [052401/1-9] Titre : Prediction of thermal conductivity and convective heat transfer coefficient of nanofluids by local composition theory Type de document : texte imprimé Auteurs : Hosseini, S. M., Auteur ; A. Mohebbi, Auteur ; S. Ghader, Auteur Année de publication : 2011 Article en page(s) : pp. [052401/1-9] Note générale : Physique Langues : Anglais (eng) Mots-clés : Nanofluid  Convective  heat  transfer  coefficient  Thermal  conductivity  coefficient  Viscosity  Local  composition  theory  Nonrandom  two  liquid  model Index. décimale : 536 Chaleur. Thermodynamique Résumé : In this study, a new method based on the local composition theory has been developed to predict thermal conductivity, convective heat transfer coefficient, and viscosity of nanofluids. The nonrandom two liquid (NRTL) model is used for this purpose. The effects of temperature and particle volume concentration on thermal conductivity, convective heat transfer coefficient, and viscosity are investigated. The adjustable parameters of the NRTL model were obtained by fitting with experimental data. The results of the local composition theory are compared with the experimental data of CuO/water, Al2O3/water, TiO2/water, Cu/water, Au/water, Ni/water, TiO2/ethylene glycol, and Al/ethylene glycol (EG) nanofluids and a good agreement between the theory and the experimental data is observed. The absolute average deviation of the model for thermal conductivity was 1.51% in comparison to 42% in conventional models. This parameter for viscosity and convective heat transfer coefficient were 2.91% and 2.13%, respectively. Moreover, a new equation for calculating convective heat transfer coefficient of nanofluids is proposed and tested. DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...] [article] Prediction of thermal conductivity and convective heat transfer coefficient of nanofluids by local composition theory [texte imprimé] / Hosseini, S. M., Auteur ; A. Mohebbi, Auteur ; S. Ghader, Auteur . - 2011 . - pp. [052401/1-9]. Physique Langues : Anglais (eng) in Journal of heat transfer > Vol. 133 N° 5 (Mai 2011) . - pp. [052401/1-9] Mots-clés : Nanofluid  Convective  heat  transfer  coefficient  Thermal  conductivity  coefficient  Viscosity  Local  composition  theory  Nonrandom  two  liquid  model Index. décimale : 536 Chaleur. Thermodynamique Résumé : In this study, a new method based on the local composition theory has been developed to predict thermal conductivity, convective heat transfer coefficient, and viscosity of nanofluids. The nonrandom two liquid (NRTL) model is used for this purpose. The effects of temperature and particle volume concentration on thermal conductivity, convective heat transfer coefficient, and viscosity are investigated. The adjustable parameters of the NRTL model were obtained by fitting with experimental data. The results of the local composition theory are compared with the experimental data of CuO/water, Al2O3/water, TiO2/water, Cu/water, Au/water, Ni/water, TiO2/ethylene glycol, and Al/ethylene glycol (EG) nanofluids and a good agreement between the theory and the experimental data is observed. The absolute average deviation of the model for thermal conductivity was 1.51% in comparison to 42% in conventional models. This parameter for viscosity and convective heat transfer coefficient were 2.91% and 2.13%, respectively. Moreover, a new equation for calculating convective heat transfer coefficient of nanofluids is proposed and tested. DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...]

Soft computing-based nonlinear fusion algorithms for describing non-Darcy flow in porous media / Nazemi, A.-R. in Journal of hydraulic research, Vol. 44 N°2 (2006) 

Public ISBD [article]  in Journal of hydraulic research > Vol. 44 N°2 (2006) . - 269-282 p. Titre : Soft computing-based nonlinear fusion algorithms for describing non-Darcy flow in porous media Titre original : Algorithmes non-linéaire de fusion en soft computing pour décrire les écoulements de type non-Darcy dans les milieu poreux Type de document : texte imprimé Auteurs : Nazemi, A.-R., Auteur ; Akbarzadeh-T, M.-R., Auteur ; Hosseini, S. M., Auteur Article en page(s) : 269-282 p. Note générale : Hydraulique Langues : Anglais (eng) Mots-clés : Porous  media  Non-Darcy  flow  Fusion  algorithme  Soft  computing  Médias  poreux  Ecoulement  de  non-Darcy  Algorithme  de  fusion  Calcul  doux Index. décimale : 627 Ingénierie des cours d'eau naturels, des ports, des rades et des cotes. Installations de navigation, de dragage, de récupération et de sauvetage. Barrages et centrales électriques hydrauliques Résumé : By increasing the velocity of flow in coarse grain materials, local turbulences are often imposed to the flow. As a result, the flow regime through rockfill structures deviates significantly from linear Darcy law; and nonlinear or non-Darcy flow equations will be applicable. Even though the structures of these nonlinear equations have some physical justifications, empirical studies are still necessary to estimate the parameters of these equations amid a great deal of uncertainty inherent to this estimation process. Consequently, none of the current empirical equations alone seem to be able to model the flow process exactly. In recent years, soft computing, in contrast to classical modeling techniques, has been advocated as a hybrid approach to intelligent paradigms such as neural networks, fuzzy logic, and neuro-fuzzy systems that aim to handle the uncertainties and vagueness in such systems. In this paper, we investigate several soft computing paradigms to combine three of the most commonly validated and utilized empirical solutions in the current literature. In this way, the estimates from the three empirical equations drive a soft computing-based fusion algorithm. The results show that soft computing-based approaches provide a powerful paradigm with a strong ability to model reality. Specifically, this paper concludes that cascade correlation neural networks provide the best fusion algorithm with the highest accuracy among the considered conventional alternatives as well as several other soft computing paradigms. En augmentant la vitesse de l'écoulement en matériaux de céréale secondaire, des turbulences locaux sont souvent imposés à l'écoulement. En conséquence, le régime d'écoulement par des structures de rockfill dévie de manière significative de la loi linéaire de Darcy ; et les équations non-linéaires ou de non-Darcy d'écoulement seront applicables. Quoique les structures de ces équations non-linéaires aient quelques justifications physiques, les études empiriques sont encore nécessaires pour estimer les paramètres de ces équations parmi beaucoup d'incertitude inhérente à ce procédé d'évaluation. En conséquence, aucune seules des équations empiriques courantes ne semble pouvoir modeler le procédé d'écoulement exactement. Ces dernières années, doux calculant, contrairement aux techniques modelantes classiques, a été préconisé comme approche hybride aux paradigmes intelligents tels que les réseaux neurologiques, la logique floue, et les systèmes neuro--brouillés qui visent à manipuler les incertitudes et l'imprécision dans de tels systèmes. En cet article, nous étudions plusieurs paradigmes de calcul doux pour combiner trois des solutions empiriques le plus généralement validées et utilisées dans la littérature courante. De cette façon, les évaluations des trois équations empiriques conduisent un algorithme calculer-basé doux de fusion. Les résultats prouvent que les approches calculer-basées douces procurent à un paradigme puissant fort de modeler la réalité. Spécifiquement, cet article conclut que les réseaux neurologiques de corrélation de cascade fournissent au meilleur algorithme de fusion l'exactitude la plus élevée parmi les solutions de rechange conventionnelles considérées aussi bien que plusieurs autres paradigmes de calcul doux. DEWEY : 627 ISSN : 0022-1686 RAMEAU : Matériaux poreux En ligne : ali_r_nazemi@yahoo.com [article] Soft computing-based nonlinear fusion algorithms for describing non-Darcy flow in porous media = Algorithmes non-linéaire de fusion en soft computing pour décrire les écoulements de type non-Darcy dans les milieu poreux [texte imprimé] / Nazemi, A.-R., Auteur ; Akbarzadeh-T, M.-R., Auteur ; Hosseini, S. M., Auteur . - 269-282 p. Hydraulique Langues : Anglais (eng) in Journal of hydraulic research > Vol. 44 N°2 (2006) . - 269-282 p. Mots-clés : Porous  media  Non-Darcy  flow  Fusion  algorithme  Soft  computing  Médias  poreux  Ecoulement  de  non-Darcy  Algorithme  de  fusion  Calcul  doux Index. décimale : 627 Ingénierie des cours d'eau naturels, des ports, des rades et des cotes. Installations de navigation, de dragage, de récupération et de sauvetage. Barrages et centrales électriques hydrauliques Résumé : By increasing the velocity of flow in coarse grain materials, local turbulences are often imposed to the flow. As a result, the flow regime through rockfill structures deviates significantly from linear Darcy law; and nonlinear or non-Darcy flow equations will be applicable. Even though the structures of these nonlinear equations have some physical justifications, empirical studies are still necessary to estimate the parameters of these equations amid a great deal of uncertainty inherent to this estimation process. Consequently, none of the current empirical equations alone seem to be able to model the flow process exactly. In recent years, soft computing, in contrast to classical modeling techniques, has been advocated as a hybrid approach to intelligent paradigms such as neural networks, fuzzy logic, and neuro-fuzzy systems that aim to handle the uncertainties and vagueness in such systems. In this paper, we investigate several soft computing paradigms to combine three of the most commonly validated and utilized empirical solutions in the current literature. In this way, the estimates from the three empirical equations drive a soft computing-based fusion algorithm. The results show that soft computing-based approaches provide a powerful paradigm with a strong ability to model reality. Specifically, this paper concludes that cascade correlation neural networks provide the best fusion algorithm with the highest accuracy among the considered conventional alternatives as well as several other soft computing paradigms. En augmentant la vitesse de l'écoulement en matériaux de céréale secondaire, des turbulences locaux sont souvent imposés à l'écoulement. En conséquence, le régime d'écoulement par des structures de rockfill dévie de manière significative de la loi linéaire de Darcy ; et les équations non-linéaires ou de non-Darcy d'écoulement seront applicables. Quoique les structures de ces équations non-linéaires aient quelques justifications physiques, les études empiriques sont encore nécessaires pour estimer les paramètres de ces équations parmi beaucoup d'incertitude inhérente à ce procédé d'évaluation. En conséquence, aucune seules des équations empiriques courantes ne semble pouvoir modeler le procédé d'écoulement exactement. Ces dernières années, doux calculant, contrairement aux techniques modelantes classiques, a été préconisé comme approche hybride aux paradigmes intelligents tels que les réseaux neurologiques, la logique floue, et les systèmes neuro--brouillés qui visent à manipuler les incertitudes et l'imprécision dans de tels systèmes. En cet article, nous étudions plusieurs paradigmes de calcul doux pour combiner trois des solutions empiriques le plus généralement validées et utilisées dans la littérature courante. De cette façon, les évaluations des trois équations empiriques conduisent un algorithme calculer-basé doux de fusion. Les résultats prouvent que les approches calculer-basées douces procurent à un paradigme puissant fort de modeler la réalité. Spécifiquement, cet article conclut que les réseaux neurologiques de corrélation de cascade fournissent au meilleur algorithme de fusion l'exactitude la plus élevée parmi les solutions de rechange conventionnelles considérées aussi bien que plusieurs autres paradigmes de calcul doux. DEWEY : 627 ISSN : 0022-1686 RAMEAU : Matériaux poreux En ligne : ali_r_nazemi@yahoo.com