Documents disponibles écrits par cet auteur

Corresponding states method for evaluation of the solubility parameters of chemical compounds / Gharagheizi, Farhad in Industrial & engineering chemistry research, Vol. 51 N° 9 (Mars 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 9 (Mars 2012) . - pp. 3826-3831 Titre : Corresponding states method for evaluation of the solubility parameters of chemical compounds Type de document : texte imprimé Auteurs : Gharagheizi, Farhad, Auteur ; Ali Eslamimanesh, Auteur ; Sattari, Mehdi, Auteur Année de publication : 2012 Article en page(s) : pp. 3826-3831 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Chemical  compound  Solubility Résumé : In this study, our objective is to apply the gene expression programming mathematical algorithm to propose a correlation based on the corresponding states method to determine the solubility parameters of 1641 pure compounds (mostly organic ones) at 298.15 K and atmospheric pressure. The studied compounds are from the 80 chemical families. The parameters of the method include the critical temperature, critical pressure, molecular weight, and acentric factor. Around 1477 solubility parameter data are randomly selected for developing (training + optimization) the correlation, and about 164 data are used for checking its prediction capability. The obtained statistical parameters, including average absolute relative deviation of the results from the applied data (about 6%), show the accuracy of the proposed method along with its simplicity and wide range of applicability. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25595813 [article] Corresponding states method for evaluation of the solubility parameters of chemical compounds [texte imprimé] / Gharagheizi, Farhad, Auteur ; Ali Eslamimanesh, Auteur ; Sattari, Mehdi, Auteur . - 2012 . - pp. 3826-3831. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 9 (Mars 2012) . - pp. 3826-3831 Mots-clés : Chemical  compound  Solubility Résumé : In this study, our objective is to apply the gene expression programming mathematical algorithm to propose a correlation based on the corresponding states method to determine the solubility parameters of 1641 pure compounds (mostly organic ones) at 298.15 K and atmospheric pressure. The studied compounds are from the 80 chemical families. The parameters of the method include the critical temperature, critical pressure, molecular weight, and acentric factor. Around 1477 solubility parameter data are randomly selected for developing (training + optimization) the correlation, and about 164 data are used for checking its prediction capability. The obtained statistical parameters, including average absolute relative deviation of the results from the applied data (about 6%), show the accuracy of the proposed method along with its simplicity and wide range of applicability. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25595813

Evaluation of thermal conductivity of gases at atmospheric pressure through a corresponding states method / Gharagheizi, Farhad in Industrial & engineering chemistry research, Vol. 51 N° 9 (Mars 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 9 (Mars 2012) . - pp. 3844-3849 Titre : Evaluation of thermal conductivity of gases at atmospheric pressure through a corresponding states method Type de document : texte imprimé Auteurs : Gharagheizi, Farhad, Auteur ; Ali Eslamimanesh, Auteur ; Sattari, Mehdi, Auteur Année de publication : 2012 Article en page(s) : pp. 3844-3849 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Atmospheric  pressure  Thermal  conductivity Résumé : In the present communication, we propose a corresponding states method for calculation/estimation of the vapor thermal conductivity of chemical compounds (mostly organic), applying the gene expression programming (GEP) algorithm. Around 16000 thermal conductivity data of gases at various temperatures from 100 to 1500 K and atmospheric pressure related to about 1600 chemical compounds (mostly organic) are used for development and validation of the method. The quantities used in the corresponding states correlation include temperature, critical pressure, molecular weight, acentric factor, and normal boiling point. More than 14000 thermal conductivity data are randomly selected for developing (training + optimizing) the correlation, and about 1600 data are used for checking its prediction capability. The obtained statistical parameters including average absolute relative deviation of the results from the applied data (about 8%) show acceptable accuracy of the presented method. The most important features of the developed model are its simplicity, its wide range of applicability, and its validity based on the Leverage value test. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25595816 [article] Evaluation of thermal conductivity of gases at atmospheric pressure through a corresponding states method [texte imprimé] / Gharagheizi, Farhad, Auteur ; Ali Eslamimanesh, Auteur ; Sattari, Mehdi, Auteur . - 2012 . - pp. 3844-3849. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 9 (Mars 2012) . - pp. 3844-3849 Mots-clés : Atmospheric  pressure  Thermal  conductivity Résumé : In the present communication, we propose a corresponding states method for calculation/estimation of the vapor thermal conductivity of chemical compounds (mostly organic), applying the gene expression programming (GEP) algorithm. Around 16000 thermal conductivity data of gases at various temperatures from 100 to 1500 K and atmospheric pressure related to about 1600 chemical compounds (mostly organic) are used for development and validation of the method. The quantities used in the corresponding states correlation include temperature, critical pressure, molecular weight, acentric factor, and normal boiling point. More than 14000 thermal conductivity data are randomly selected for developing (training + optimizing) the correlation, and about 1600 data are used for checking its prediction capability. The obtained statistical parameters including average absolute relative deviation of the results from the applied data (about 8%) show acceptable accuracy of the presented method. The most important features of the developed model are its simplicity, its wide range of applicability, and its validity based on the Leverage value test. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25595816

Prediction of the θ(UCST) of polymer solutions / Gharagheizi, Farhad in Industrial & engineering chemistry research, Vol. 48 N° 19 (Octobre 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 19 (Octobre 2009) . - pp. 9054–9060 Titre : Prediction of the θ(UCST) of polymer solutions : a quantitative structure−property relationship study Type de document : texte imprimé Auteurs : Gharagheizi, Farhad, Auteur ; Sattari, Mehdi, Auteur Année de publication : 2009 Article en page(s) : pp. 9054–9060 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Polymer  solutions  Thermodynamic  properties  Quantitative  structure−property  relationship  technique  θ(UCST) Résumé : One of the industrially important thermodynamic properties of polymer solutions is the upper critical solution temperature at the limit of infinite chain length of polymers, which is used to realize the usage limits of polymer solutions; this property is denoted as the θ(UCST). In this study, the quantitative structure−property relationship technique (QSPR) was used to correlate the θ(UCST) of polymer solutions. Based on molecular descriptors calculated from the chemical structures of the polymer and the solvent, a nine-parameter multilinear equation was obtained. This correlation can predict the θ(UCST) of 107 polymer solutions with a mean relative error of 6.12% and squared correlation coefficient of 0.912. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9000426 [article] Prediction of the θ(UCST) of polymer solutions : a quantitative structure−property relationship study [texte imprimé] / Gharagheizi, Farhad, Auteur ; Sattari, Mehdi, Auteur . - 2009 . - pp. 9054–9060. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 19 (Octobre 2009) . - pp. 9054–9060 Mots-clés : Polymer  solutions  Thermodynamic  properties  Quantitative  structure−property  relationship  technique  θ(UCST) Résumé : One of the industrially important thermodynamic properties of polymer solutions is the upper critical solution temperature at the limit of infinite chain length of polymers, which is used to realize the usage limits of polymer solutions; this property is denoted as the θ(UCST). In this study, the quantitative structure−property relationship technique (QSPR) was used to correlate the θ(UCST) of polymer solutions. Based on molecular descriptors calculated from the chemical structures of the polymer and the solvent, a nine-parameter multilinear equation was obtained. This correlation can predict the θ(UCST) of 107 polymer solutions with a mean relative error of 6.12% and squared correlation coefficient of 0.912. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9000426

Prediction of triple-point temperature of pure components using their Chemical Structures / Gharagheizi, Farhad in Industrial & engineering chemistry research, Vol. 49 N° 2 (Janvier 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 929–932 Titre : Prediction of triple-point temperature of pure components using their Chemical Structures Type de document : texte imprimé Auteurs : Gharagheizi, Farhad, Auteur ; Sattari, Mehdi, Auteur Année de publication : 2010 Article en page(s) : pp 929–932 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Triple-point  temperature  Chemical  structures. Résumé : A quantitative structure property relationship study was performed to develop a model for the prediction of triple-point temperature of pure components. For developing this model, 638 pure components were used, and, for whichever, 1664 molecular descriptors were determined. As a standard tool for subset variable selection, genetic algorithm-based multivariate linear regression (GA-MLR) technique was used. The obtained model is a seven parameters multilinear equation that has a squared correlation coefficient of 0.9410 (R2 = 0.9410). DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901029m [article] Prediction of triple-point temperature of pure components using their Chemical Structures [texte imprimé] / Gharagheizi, Farhad, Auteur ; Sattari, Mehdi, Auteur . - 2010 . - pp 929–932. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 929–932 Mots-clés : Triple-point  temperature  Chemical  structures. Résumé : A quantitative structure property relationship study was performed to develop a model for the prediction of triple-point temperature of pure components. For developing this model, 638 pure components were used, and, for whichever, 1664 molecular descriptors were determined. As a standard tool for subset variable selection, genetic algorithm-based multivariate linear regression (GA-MLR) technique was used. The obtained model is a seven parameters multilinear equation that has a squared correlation coefficient of 0.9410 (R2 = 0.9410). DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901029m