Sensitivity analysis of model parameters and process operation for batch cooling crystallization process
The study aimed to analyze the uncertainties associated with kinetic model parameters and operating parameters in the crystallization model.Three simplified crystallization process models,based on the population balance equations,were considered to analyze the batch cooling crystallization process.The sensitivity of the parameters to the product crystal size distribution(CSD)and the formation of fine crystals was evaluated.The local and global sensitivities of 12 parameters to the three crystallization process models of crystal growth(CG),crystal growth-nucleation(CGN)and crystal growth-nucleation-dissolution(CGND)were quantitatively analyzed,while the convergence of the modified Morris screening method and PAWN method was ensured.And the parameter sensitivities were sorted.The results show that the sensitivity of parameters is different for model situations of different complexity.For product CSD,the parameters µ,C0,b,and m0 exhibit significant sensitivity in CG and CGN,while all parameters are insensitive in CGND.For fine crystals,the parameters b,g,and C0 exhibit significant sensitivity in CGN,and parameters C0,T0,g,b and µ show sensitivity in CGND.Sensitivity analysis can be used to identify the most crucial disturbance parameters for various crystallization processes.This can guide the selection of the consideration of model errors and operating condition perturbations in robust optimization design.
万方数据
维普
