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Lumped kinetics of self-heating runaway reactions / Enio Kumpinsky in Industrial & engineering chemistry research, Vol. 47 N°20 (Octobre 2008) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7570-7579 Titre : Lumped kinetics of self-heating runaway reactions : a statistical treatment Type de document : texte imprimé Auteurs : Enio Kumpinsky, Editeur scientifique Année de publication : 2008 Article en page(s) : P. 7570-7579 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Lumped  kinetics  Self-heating  Chemical  industry  Statistical  Treatment Résumé : The evaluation of laboratory-scale runaway reactions is of fundamental importance to safety studies that seek mitigation of hazards in the chemical industry. Such studies depend on reaction kinetics, which require good experimentation practices and effective interpretation of the results. Statistics offer many tools for the analysis of experimental data. Parameters can be estimated and re-evaluated to reduce collinearity between the factors. In addition, experimental variability and deficient model performance at temperatures in the neighborhood of venting conditions can be properly managed to provide conservative reaction rates without exaggerating the hazard. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie0714201 [article] Lumped kinetics of self-heating runaway reactions : a statistical treatment [texte imprimé] / Enio Kumpinsky, Editeur scientifique . - 2008 . - P. 7570-7579. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7570-7579 Mots-clés : Lumped  kinetics  Self-heating  Chemical  industry  Statistical  Treatment Résumé : The evaluation of laboratory-scale runaway reactions is of fundamental importance to safety studies that seek mitigation of hazards in the chemical industry. Such studies depend on reaction kinetics, which require good experimentation practices and effective interpretation of the results. Statistics offer many tools for the analysis of experimental data. Parameters can be estimated and re-evaluated to reduce collinearity between the factors. In addition, experimental variability and deficient model performance at temperatures in the neighborhood of venting conditions can be properly managed to provide conservative reaction rates without exaggerating the hazard. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie0714201