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Isothermal thermogravimetric analysis of soybean oil oxidation correlated to thin film micro - oxidation test methods / Mert Arca 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. 3550-3555 Titre : Isothermal thermogravimetric analysis of soybean oil oxidation correlated to thin film micro - oxidation test methods Type de document : texte imprimé Auteurs : Mert Arca, Auteur ; Brajendra K. Sharma, Auteur ; Joseph M. Perez, Auteur Année de publication : 2012 Article en page(s) : pp. 3550-3555 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Test  method  Thin  film  Oxidation  Thermogravimetry Résumé : An isothermal thermogravimetric analysis (TGA) method was used to generate a model capable of predicting the results of the Thin Film Micro-Oxidation (TFMO) test in a soybean oil system. Utilizing a series of pseudorate constants and "activation energies", weight loss data from the TGA method can predict oxidation, polymerization, evaporation, and the formation of high molecular weight deposits, normally observed in the TFMO test. These parameters can be used in simple computer simulations which can calculate the weight of each component of a lubricant as it decomposes. This allows evaluation of lubricants without the difficult to obtain TFMO equipment, instead utilizing equipment available in most laboratories. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25595779 [article] Isothermal thermogravimetric analysis of soybean oil oxidation correlated to thin film micro - oxidation test methods [texte imprimé] / Mert Arca, Auteur ; Brajendra K. Sharma, Auteur ; Joseph M. Perez, Auteur . - 2012 . - pp. 3550-3555. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 9 (Mars 2012) . - pp. 3550-3555 Mots-clés : Test  method  Thin  film  Oxidation  Thermogravimetry Résumé : An isothermal thermogravimetric analysis (TGA) method was used to generate a model capable of predicting the results of the Thin Film Micro-Oxidation (TFMO) test in a soybean oil system. Utilizing a series of pseudorate constants and "activation energies", weight loss data from the TGA method can predict oxidation, polymerization, evaporation, and the formation of high molecular weight deposits, normally observed in the TFMO test. These parameters can be used in simple computer simulations which can calculate the weight of each component of a lubricant as it decomposes. This allows evaluation of lubricants without the difficult to obtain TFMO equipment, instead utilizing equipment available in most laboratories. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25595779