Optimal temperature profiles for methylmethacrylate polymerization in the presence of end point constraints

Abstract

Optimal temperature histories have been obtained for methylmethacrylate polymerization using a kinetic model incorporating gel and glass effects. The minimum end time problem has been studied, with end point constraints on monomer conversion and the number average chain length, μn. The optimization algorithm used is efficient and easy to use. It is found that the optimal temperature histories obtained when the desired chain length lies beyond the maxima in the μn vs. time plot differ qualitatively and significantly from those obtained when the desired μn lies before the maxima.

Multiobjective optimization of a free radical bulk polymerization reactor using genetic algorithm

“…These values are quite close to those used by Vaid and Gupta 17) and Chakravarthy et al 4) , and are identical to those used by Garg et al 12) for single objective function studies. The same values of x md and l nd are being used here so that we can compare the results for the single and the double objective function optimizations.…”

Multiobjective dynamic optimization of an industrial nylon 6 semibatch reactor using genetic algorithm

“…In fact, for complex, are obtained using this technique. It is found that real-life problems (e.g., for methyl methacrylate significant improvements (reduction in reaction polymerization 15 as well as for nylon 6 polymertime, reduction in the concentration of undesired ization [16][17][18] ), the ''window'' in which the initial side product) are indicated by our study, over the guess of the control variable must lie is extremely current operation of the reactor. We understand that changes in the operating variables have been narrow, and one can easily get into problems of made in the industrial reactor along the directions lack of convergence.…”

Use of genetic algorithms in the optimization of free radical polymerizations exhibiting the trommsdorff effect

“…The algorithm used is Figure 2 for an initial initiator concentration [I] o summarized in Table V and is an adaptation of of 25.8 mol/m 3 (reference value). These results that used by Vaid and Gupta 34 and Ray and were generated with a value of TOL of 10 07 in the code DO2EJF, and no significant differences were Gupta 35 earlier. found upon decreasing the value of this paramegenerations for eq.…”

“…Gupta, 34 who used a similar algorithm but solved a slightly different optimization problem. In fact, Computations were carried out using Pontryagin's minimum principle (first order) for the condiwe obtained different (sub-) optimal temperature histories on using different T ( o ) (t) outside of the tions described in eq.…”