A multiobjective optimization technique has been developed for free radical bulk polymerization reactors using genetic algorithm. The polymerization of methyl methacrylate in a batch reactor has been studied as an example. The two objective functions which are minimized are the total reaction time a
Use of genetic algorithms in the optimization of free radical polymerizations exhibiting the trommsdorff effect
β Scribed by S. S. S. Chakravarthy; D. N. Saraf; Santosh K. Gupta
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 331 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0021-8995
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β¦ Synopsis
The genetic algorithm (GA) is adapted and used to obtain optimal temperature histories for methyl methacrylate polymerizations. The reaction time is minimized, while simultaneously requiring the attainment of design values of the final monomer conversion and number average chain length. The technique is robust, and gives near-global optimal solutions. As such, it can easily be used for on-line optimizing control of free radical polymerization reactors in which the reaction is associated with the Trommsdorff effect. The results obtained from GA can be improved further if these are provided as initial guesses to a computer code using the Pontryagin minimum principle with the first order control vector iteration method.
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## Abstract The polymerization kinetics of acrylonitrile (AN) with the potassium persulfate (K~2~S~2~O~8~)/thiourea redox system has been investigated volumetrically in an aqueous medium in the temperature range of 40β80Β°C. The rate of polymerization (__R__~__p__~) and rate of K~2~S~2~O~8~ disappea