Modeling and Optimization of propylene polymerization with branching

Mogilicharla, A and Majumdar, S and Mitra, Kishalay (2014) Modeling and Optimization of propylene polymerization with branching. In: 24th European Symposium on Computer Aided Process Engineering – ESCAPE 24, June 15-18, 2014, Budapest, Hungary.

ESCAPE24-ANITHA.pdf - Published Version

Download (120kB)


A kinetic model has been proposed to fit the experimental data (2003) available from the open literature for branched propylene polymerization system. The present system considered is a binary catalyst system, in which the first catalyst produces the atactic polypropylene macromonomer whereas the second one grafts the atactic polypropylene macromonomers to isotactic polypropylene backbone leading to branching. The proposed kinetic model, first of its kind that has been validated with experimental data, is extended to find the optimal process conditions for the desired combination of conflicting objectives. For this purpose, multi-objective optimization technique nondominating sorting genetic algorithm II (NSGA II) has been utilized. A wide variety of process choices have been obtained for the optimization set up which shows improvement in process performance as compared to similar process performances reported in the open literature.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Mitra, Kishalay
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Long chain branching, polypropylene, NSGA II, multi-objective optimization
Subjects: Chemical Engineering > Biochemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Team Library
Date Deposited: 06 Jan 2015 09:58
Last Modified: 10 Nov 2017 05:07
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 1304 Statistics for this ePrint Item