Developed Hybrid Model for Propylene Polymerisation at Optimum Reaction Conditions.

ABSTRACT: A 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 throug

SUBMITTER: Khan MJH 

PROVIDER: S-EPMC6432575 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature