A stochastic approach for the prediction of PSD in crystallization processes: Analytical solution for the asymptotic behavior and parameter estimation

Computers and Chemical Engineering

Volumn 35, Issue 11, 2011, Pages 2318-2325

  Tronci, Stefania ^a   Grosso, Massimiliano ^a   Baratti, Roberto ^a   Romagnoli, Jose A ^b  

^a UNIVERSITY OF CAGLIARI   (Italy)

^b LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

Brownian motion; Particle size measurement; Probabilistic models; Process parameter estimation; Stochastic modeling

Indexed keywords

ALTERNATIVE APPROACH; ANALYTICAL SOLUTIONS; ANTI-SOLVENT CRYSTALLIZATION SYSTEM; ANTI-SOLVENTS; ASYMPTOTIC BEHAVIORS; COMPUTATIONAL BURDEN; CRYSTAL GROWTH PROCESS; CRYSTALLIZATION PROCESS; DETERMINISTIC COMPONENT; EXPERIMENTAL DATA; LOGISTIC EQUATIONS; MODEL PARAMETERS; PARTICLE SIZE MEASUREMENT; PROBABILISTIC MODELS; PROCESS PARAMETERS; STOCHASTIC APPROACH; STOCHASTIC FORMULATION; STOCHASTIC MODELING;

BROWNIAN MOVEMENT; CRYSTAL GROWTH; CRYSTALLIZATION; ESTIMATION; ETHANOL; FOKKER PLANCK EQUATION; ORGANIC SOLVENTS; SODIUM CHLORIDE; STOCHASTIC SYSTEMS;

PARAMETER ESTIMATION;

EID: 80052615464     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2011.01.007     Document Type: Article

References (9)

1. Abu Bakar M.R., Nagy Z.K., Saleemi A.N., Rielly C.D. The impact of direct nucleation control on crystal size distribution in pharmaceutical crystallization processes. Crystal Growth and Design 2009, 9:1378-1384.
2. Galán O., Grosso M., Baratti R., Romagnoli J. A stochastic approach for the calculation of anti-solvent addition policies in crystallization operations: An application to a bench-scale semi-batch crystallizer. Chemical Engineering Science 2010, 65:1797-1810.
3. Gelb A. Applied optimal estimator 1988, M.I.T. Press, Cambridge Massachusetts, USA.
4. Grosso, M., Cogoni, G., Baratti, R., Romagnoli, J. A. A stochastic approach for the prediction of psd in crystallization processes: Formulation and comparative assessment of different stochastic models. Industrial and Chemical Engineering Research, in press.
5. Grosso M., Galan O., Baratti R., Romagnoli J. A stochastic formulation for the description of the crystal size distribution in antisolvent crystallization processes. AIChe Journal 2010, 56:2077-2087.
6. Kee N.C.S., Tan R.B.H., Braatz R.D. Selective crystallization of the metastable α-form of l-glutamic acid using concentration feedback control. Crystal Growth and Design 2009, 9:3044-3051.
7. Silverman B.W. Density estimation for statistics and data analysis 1986, Chapman & Hall, London, 1986.
8. Risken H. The Fokker-Planck equation: Methods of solution and applications 1984, Springer-Verlag, Germany.
9. Woo X.Y., Nagy Z.K., Tan R.B.H., Braatz R.D. Adaptive concentration control of cooling and antisolvent crystallization with laser backscattering measurement. Crystal Growth and Design 2009, 9:182-191.