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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1031

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contributor.authorKumar, Arvind-
contributor.authorPrasad, B-
contributor.authorMishra, I M-
identifier.citationThe Canadian Journal of Chemical Engineering, Vol 87, August 2009en
description.abstractA statistical Box–Behnken design of experiments was performed to evaluate the effects of individual operating variables and their interactions on the acrylonitrile (AN) removal of C0 =100 mg/L as fixed input parameter. The variables examined in this study included activated carbon-granular (AC) dosage, w, temperature, T, and time of contact, t. The significant variables and optimum conditions were identified (w=4 g/L, T=30◦C,and t=120 min with AN uptake of 23.97 mg/g of AC) from statistical analysis of the experimental results using response surface methodology (RSM). Un plan des exp´eriences statistiques de Box–Behnken a ´et´e conc¸u afin d’´evaluer les effets des variables de fonctionnement individuelles et leurs interactions sur l’´elimination de 100 mg/L d’acrylonitrile (AN) comme param`etre d’entr´ee fixe. Les variables examin´ees dans le cadre de cette ´etude comprenaient le dosage de charbon granulaire activ´e (w), la temp´erature (T) et le temps de s´ejour (t). Les variables importantes et les conditions optimales ont ´et´e d´etermin´ees (et minimales avec une absorption de 23,97 mg/g d’AN) `a partir de l’analyse statistique des r´esultats exp´erimentaux au moyen de la m´ethodologie de la surface de r´eponse (MSR).en
format.extent268017 bytes-
publisherCanadian Society for Chemical Engineeringen
subjectacrylonitrile (AN)en
subjectresponse surface methodology (RSM)en
titleOptimization of Acrylonitrile Removal by Activated Carbon-Granular Using Response Surface Methodologyen
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