Mathematical model for predicting gel Point in the process of manufacturing alkyd resins / M. A. B. Prashantha ; J. K. Premachandra ; A. D. U. S. Amarasinghe in Industrial & engineering chemistry research, Vol. 47 n°22 (Novembre 2008)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 47 n°22 (Novembre 2008) . - p. 8555–8560 Titre : Mathematical model for predicting gel Point in the process of manufacturing alkyd resins Type de document : texte imprimé Auteurs : M. A. B. Prashantha, Auteur ; J. K. Premachandra, Auteur ; A. D. U. S. Amarasinghe, Auteur Année de publication : 2008 Article en page(s) : p. 8555–8560 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical Manufacturing Alkyd Résumé : A mathematical model for the prediction of gel formation in the synthesis of alkyd resins is developed. The probability of developing linear polymer molecules is related to the average functionality, Fav. A statistical factor φ is introduced to represent the probability of having free OH groups in the backbone of a linear alkyd molecule. Factor φ increases from 0 to a maximum of φmax when the acid value decreases from AVinitial to AVmax during the polymerization. Branch generation in alkyd molecules becomes significant only after the acid value is reached, AVmax, and it continues until a gel is formed. At φmax, the average functionality (Fav(max)) and the acid value (AVmax) are calculated in terms of the number of moles of OH groups, number of moles of COOH groups, and total number of molecules per unit mass at the beginning of polymerization. The acid value at the gel point, AVgel, is then calculated using the values of Fav(max) and AVmax. The predicted acid values using the new model are in good agreement with the actual data reported for polyesterification in the synthesis of alkyd resins. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8005534 [article] Mathematical model for predicting gel Point in the process of manufacturing alkyd resins [texte imprimé] / M. A. B. Prashantha, Auteur ; J. K. Premachandra, Auteur ; A. D. U. S. Amarasinghe, Auteur . - 2008 . - p. 8555–8560. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°22 (Novembre 2008) . - p. 8555–8560 Mots-clés : Mathematical Manufacturing Alkyd Résumé : A mathematical model for the prediction of gel formation in the synthesis of alkyd resins is developed. The probability of developing linear polymer molecules is related to the average functionality, Fav. A statistical factor φ is introduced to represent the probability of having free OH groups in the backbone of a linear alkyd molecule. Factor φ increases from 0 to a maximum of φmax when the acid value decreases from AVinitial to AVmax during the polymerization. Branch generation in alkyd molecules becomes significant only after the acid value is reached, AVmax, and it continues until a gel is formed. At φmax, the average functionality (Fav(max)) and the acid value (AVmax) are calculated in terms of the number of moles of OH groups, number of moles of COOH groups, and total number of molecules per unit mass at the beginning of polymerization. The acid value at the gel point, AVgel, is then calculated using the values of Fav(max) and AVmax. The predicted acid values using the new model are in good agreement with the actual data reported for polyesterification in the synthesis of alkyd resins. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8005534

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