ESTIMATION OF CRYSTALLIZATION KINETICS FROM BATCH COOLING EXPERIMENTS

A direct optimization method to estimate nucleation and crystal growth rate parameters from seeded batch cooling crystallization experiments is evaluated. The experimental information applied comprises the conc entration of the solution and the temperature as functions of time and the final product size distribution. Parameters in kinetic equations are determined by nonlinear optimization of a dynamic model of the exp eriment, by which intermediate approximations of experimental data are avoided. The optimization objective function includes both solution c oncentration data and product size distribution data. Kinetics are est imated for succinic acid crystallizing in aqueous solutions. Results f rom several different cooling crystallizations are simultaneously supp lied into one single optimization to determine seven parameters.