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dc.contributor.authorKhan, M.J.H.*
dc.contributor.authorHussain, M.A.*
dc.contributor.authorMujtaba, Iqbal M.*
dc.date.accessioned2016-03-21T10:44:40Z
dc.date.available2016-03-21T10:44:40Z
dc.date.issued2016-02-10
dc.identifier.citationKhan MJH, Hussain MA and Mujtaba IM (2016) Developed Hybrid Model for Propylene Polymerisation at Optimum Reaction Conditions. Polymers. 8(2): 47.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7963
dc.descriptionYesen_US
dc.description.abstractA statistical model combined with CFD (computational fluid dynamic) method was used to explain the detailed phenomena of the process parameters, and a series of experiments were carried out for propylene polymerisation by varying the feed gas composition, reaction initiation temperature, and system pressure, in a fluidised bed catalytic reactor. The propylene polymerisation rate per pass was considered the response to the analysis. Response surface methodology (RSM), with a full factorial central composite experimental design, was applied to develop the model. In this study, analysis of variance (ANOVA) indicated an acceptable value for the coefficient of determination and a suitable estimation of a second-order regression model. For better justification, results were also described through a three-dimensional (3D) response surface and a related two-dimensional (2D) contour plot. These 3D and 2D response analyses provided significant and easy to understand findings on the effect of all the considered process variables on expected findings. To diagnose the model adequacy, the mathematical relationship between the process variables and the extent of polymer conversion was established through the combination of CFD with statistical tools. All the tests showed that the model is an excellent fit with the experimental validation. The maximum extent of polymer conversion per pass was 5.98% at the set time period and with consistent catalyst and co-catalyst feed rates. The optimum conditions for maximum polymerisation was found at reaction temperature (RT) 75 °C, system pressure (SP) 25 bar, and 75% monomer concentration (MC). The hydrogen percentage was kept fixed at all times. The coefficient of correlation for reaction temperature, system pressure, and monomer concentration ratio, was found to be 0.932. Thus, the experimental results and model predicted values were a reliable fit at optimum process conditions. Detailed and adaptable CFD results were capable of giving a clear idea of the bed dynamics at optimum process conditions.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/ 10.3390/polym8020047en_US
dc.rights© 2016 The Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (http://creativecommons.org/licenses/by/4.0) license.en_US
dc.subjectPolymerisation; Developed model; RSM; CFD; Optimum productionen_US
dc.titleDeveloped Hybrid Model for Propylene Polymerisation at Optimum Reaction Conditionsen_US
dc.status.refereedYesen_US
dc.date.Accepted2016-01-28
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-25T12:39:59Z


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