Statistical approach to constructing predictive models for thermal resistance based on operating conditions / Hiromasa Kaneko in Industrial & engineering chemistry research, Vol. 51 N° 29 (Juillet 2012)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9906-9912 Titre : Statistical approach to constructing predictive models for thermal resistance based on operating conditions Type de document : texte imprimé Auteurs : Hiromasa Kaneko, Auteur ; Susumu Inasawa, Auteur ; Nagisa Morimoto, Auteur Année de publication : 2012 Article en page(s) : pp. 9906-9912 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Operating conditions Forecast model Résumé : We have constructed statistical models that predict thermal resistance after fouling layer formation in a heat exchanger, in which a slurry of stearic acid in toluene was cooled. Chemoinformatics was used, and the initial rate of increase in thermal resistance (dU―1/dt) was calculated from experimental conditions such as coolant flow rate and the degree of supersaturation. We then constructed models for thermal resistance at a steady state using calculated values of dU―1/dt and experimental conditions. Our model gives a good correlation with the experimental results. The contribution of operating conditions to fouling layer formation was discussed semiquantitatively on the basis of linear regression coefficients that were obtained from our model. Because only operating conditions and set values were used as input, our approach is very practical for prediction of thermal resistance given certain operating conditions. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26184969 [article] Statistical approach to constructing predictive models for thermal resistance based on operating conditions [texte imprimé] / Hiromasa Kaneko, Auteur ; Susumu Inasawa, Auteur ; Nagisa Morimoto, Auteur . - 2012 . - pp. 9906-9912. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9906-9912 Mots-clés : Operating conditions Forecast model Résumé : We have constructed statistical models that predict thermal resistance after fouling layer formation in a heat exchanger, in which a slurry of stearic acid in toluene was cooled. Chemoinformatics was used, and the initial rate of increase in thermal resistance (dU―1/dt) was calculated from experimental conditions such as coolant flow rate and the degree of supersaturation. We then constructed models for thermal resistance at a steady state using calculated values of dU―1/dt and experimental conditions. Our model gives a good correlation with the experimental results. The contribution of operating conditions to fouling layer formation was discussed semiquantitatively on the basis of linear regression coefficients that were obtained from our model. Because only operating conditions and set values were used as input, our approach is very practical for prediction of thermal resistance given certain operating conditions. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26184969

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