کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
156270 456926 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling batch crystallization processes: Assumption verification and improvement of the parameter estimation quality through empirical experiment design
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Modeling batch crystallization processes: Assumption verification and improvement of the parameter estimation quality through empirical experiment design
چکیده انگلیسی

In this work, experimental data of different batches was used for estimation of the kinetic parameters for the secondary nucleation framework of Gahn and Mersmann [Gahn, C. and Mersmann, A., 1999. Brittle fracture in crystallization processes. Chem. Eng. Sci. 54, 1273–1292].An empirical experiment design procedure was used to design an informative batch experiment through optimization of the seed quality, size and mass and process conditions at seeding. The parameters estimated using the data of the designed experiment showed smaller magnitudes of the confidence ellipsoids and standard deviations as compared to those obtained by using the data of conventional (un)seeded batch experiments. It was shown that the designed experiment allowed reducing uncertainty in the initial conditions, namely, the mass and crystal size distribution of the initial population of crystals and the initial supersaturation.It was also demonstrated that the main reason for the model/process mismatch was the origin of nuclei. Dynamic experimental data could be described better if the state of the crystals forming the crystallization system corresponded to the assumptions of the used kinetic model. Differences in the crystal surface properties, shape, and strain content could be responsible for a divergent nucleation and growth behavior in batches that were initiated either by primary nucleation, seeding with small ground seeds or seeding with coarse crystals from the product of the previous batch.


► Data of (un)seeded batch crystallization runs was used in parameter estimation.
► Empirical experiment design procedure was used to design an informative experiment.
► Quality of estimates can be improved by reducing uncertainty in initial conditions.
► Main reason for process/model mismatch was shown to be the origin of nuclei.
► Best fit is obtained if assumption on invariance of kinetic parameters is relaxed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Science - Volume 66, Issue 20, 15 October 2011, Pages 4867–4877
نویسندگان
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