Optimal policies for BMA polymerization in nonisothermal batch reactor | Zendy

Sundaram B. S. | Zendy; Upreti S. R. | Zendy; Lohi A. | Zendy

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Optimal policies for BMA polymerization in nonisothermal batch reactor

Author(s) -

Sundaram B. S.,

Upreti S. R.,

Lohi A.

Publication year - 2006

Publication title -

journal of applied polymer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.575

H-Index - 166

eISSN - 1097-4628

pISSN - 0021-8995

DOI - 10.1002/app.24510

Subject(s) - monomer , polymerization , maximization , jacobian matrix and determinant , batch reactor , minification , materials science , polymer , process (computing) , thermodynamics , methacrylate , process engineering , polymer chemistry , mathematical optimization , computer science , mathematics , chemistry , physics , engineering , organic chemistry , catalysis , composite material , operating system

In this paper, the optimal policies for bulk polymerization of n ‐butyl methacrylate (BMA) are determined in a nonisothermal batch reactor. Four objectives are realized for BMA polymerization based on a detailed process model. The objectives are: (i) maximization of monomer conversion in a specified operation time, (ii) minimization of operation time for a specified, final monomer conversion, (iii) maximization of monomer conversion for a specified, final number average polymer molecular weight, and (iv) maximization of monomer conversion for a specified, final weight average polymer molecular weight. For each objective, the optimal temperature policy of heat‐exchange fluid inside reactor jacket is determined. The temperature of the heat‐exchange fluid is considered as a function of a specified variable. Necessary equations are provided to suitably transform the process model in terms of a specified variable other than time, and to evaluate the elements of Jacobian to help in the accurate solution of the process model. A genetic algorithm‐based optimal control method is applied to realize the objectives. The resulting optimal policies of this application reveal considerable improvements in the batch production of poly(BMA). © 2006 Wiley Periodicals, Inc. J Appl PolymSci 102: 2799–2809, 2006

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