A kinetic model has been proposed for a binary catalyst system with the available experimentaluddata from the open literature, in which one catalyst produces polypropylene macromonomer, while theudother catalyst attacks the macromonomers as side chains to the isotactic polypropylene backbone. Afterudvalidating the model with the experimental data, it has been extended to find the optimal processudconditions for the desired combination of conflicting objectives that leads to manufacturing of polymerudwith controlled branching suitable for varied kind of applications. A well-established multi-objectiveudoptimization technique, NSGA II, has been utilized for this purpose. Some of the Pareto optimal points areudfound to be better than the experimental data and show improvement in process performance.
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