Seeding strategies and residence time characteristics of continuous preferential crystallization

Chemical Engineering Science

Volumn 71, Issue , 2012, Pages 5-17

  Qamar, Shamsul ^a,b   Peter Elsner, Martin ^a,c   Hussain, Iltaf ^b   Seidel Morgenstern, Andreas ^a  

^a MAX PLANCK INSTITUTE FOR DYNAMICS OF COMPLEX TECHNICAL SYSTEMS   (Germany)

^b COMSATS Institute of Information Technology ^*  (Pakistan)

^c NUREMBERG INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Continuous preferential crystallization; Fines dissolution; Goal functions; High resolution schemes; Population balances; Seeding strategies

Indexed keywords

GOAL FUNCTIONS; HIGH RESOLUTION SCHEME; POPULATION BALANCES; PREFERENTIAL CRYSTALLIZATION; SEEDING STRATEGIES;

CRYSTALLIZERS; ORDINARY DIFFERENTIAL EQUATIONS; RUNGE KUTTA METHODS;

DISSOLUTION;

EID: 84855801241     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2011.12.030     Document Type: Article

References (30)

1. Aamir E., Nagy Z.K., Rielly C.D. Optimal seed recipe design for crystal size distribution control for batch cooling crystallisation processes. Chem. Eng. Sci. 2010, 65:3602-3614.
2. Abegg C.F., Stevens J.D., Larson M.A. Crystal size distributions in continuous crystallizers when growth rate is size dependent. AIChE J. 1968, 14:118-122.
3. Alvarez-Rodrigo A., Lorenz H., Seidel-Morgenstern A. On-line monitoring of preferential crystallization of enantiomers. Chirality 2004, 16:499-508.
4. Chung S.H., Ma D.L., Braatz R.D. Optimal seeding in batch crystallisation. Can. J. Chem. Eng. 1999, 77:590-595.
5. Collet A. Separation and purification of enantiomers by crystallization. Enantiomer 1999, 4:157-172.
6. Coquerel G. Preferential crystallization. Novel Optical Resolution Technologies. Topics in Current Chemistry 2007, vol. 269:1-51.
7. Czapla F., Haida H., Elsner M.P., Lorenz H., Seidel-Morgenstern A. Parameterization of population balance models for polythermal auto seeded preferential crystallization of enantiomers. Chem. Eng. Sci. 2009, 64:753-763.
8. Elsner M.P., Fernández Menéndez D., Alonso Muslera E., Seidel-Morgenstern A. Experimental study and simplified mathematical description of preferential crystallization. Chirality 2005, 17:183-195.
9. Elsner M.P., Ziomek G., Seidel-Morgenstern A. Simultaneous preferential crystallization in a coupled batch operation mode. Part II. Experimental study and model refinement. Chem. Eng. Sci. 2011, 66:1269-1284.
10. Gunawan R., Fusman I., Braatz R.D. High resolution algorithms for multidimensional population balance equations. AIChE J. 2004, 50:2738-2749.
11. Hermanto M.W., Braatz R.D., Chiu M.-S. High-order simulation of polymorphic crystallization using weighted essentially nonoscillatory methods. AIChE J. 2008, 55:122-131.
12. Hulburt H.M., Katz S. Some problems in particle technology. Chem. Eng. Sci. 1964, 19:555-574.
13. Jacques J., Cỳollet A., Wilen S.H. Enantiomers, Racemates and Resolutions 1981, Wiley, New York.
14. Koren B. A robust upwind discretization method for advection, diffusion and source terms. Numerical Methods for Advection-Diffusion Problems. Notes on Numerical Fluid Mechanics 1993, vol. 45:117-138. Vieweg Verlag, Braunschweig.
15. Kumar S., Ramkrishna D. On the solution of population balance equations by discretization. I. A fixed pivot technique. Chem. Eng. Sci. 1996, 51:1311-1332.
16. Kumar S., Ramkrishna D. On the solution of population balance equations by discretization. II. A moving pivot technique. Chem. Eng. Sci. 1996, 51:1333-1342.
17. LeVeque R.J. Finite Volume Methods for Hyperbolic Problems 2002, Cambridge University Press, New York.
18. Lim Y.I., Lann J-M.L., Meyer X.M., Joulia X., Lee G., Yoon E.S. On the solution of population balance equation (PBE) with accurate front tracking method in practical crystallization processes. Chem. Eng. Sci. 2002, 57:3715-3732.
19. Mersmann A. Crystallization Technology Handbook 2001, Marcel Dekker, New York. second ed.
20. Motz S., Mitrović A., Gilles E.-D., Vollmer U., Raish J. Modeling, simulation and stabilizing-control of an oscillating continuous crystallizer with fines dissolution. Chem. Eng. Sci. 2003, 58:3473-3488.
21. Nývlt J., Söhnel O., Matuchová M., Broul M. The Kinetics of Industrial Crystallization. Chemical Engineering Monographs 1985, vol. 19. Elsevier, Amsterdam.
22. Qamar S., Elsner M.P., Angelov I., Warnecke G., Seidel-Morgenstern A. A comparative study of high resolution schemes for solving population balances in crystallization. Comput. Chem. Eng. 2006, 30:1119-1131.
23. Qamar S., Ashfaq A., Angelov I., Elsner M.P., Warnecke G., Seidel-Morgenstern A. Numerical solutions of population balance models in preferential crystallization. Chem. Eng. Sci. 2008, 63:1342-1352.
24. Qamar S., Mukhtar S., Seidel-Morgenstern A. An efficient numerical technique for solving one-dimensional batch crystallization models with size-dependent growth rates. Chem. Eng. Sci. 2009, 64:3659-3667.
25. Ramkrishna D. Population Balances: Theory and Applications to Particulate Systems in Engineering 2000, Academic Press, San Diego, USA.
26. Rawlings J.B., Witkowski W.R., Eaton J.W. Modelling and control of crystallizers. Powder Technology 1992, 69:3-9.
27. Rhee H.-K., Aris R., Amundson N.R. First Order Partial Differential Equations 1986, vol. 1. Prentice-Hall, Englewood Cliffs, NJ, USA.
28. Smith M., Matsoukas T. Constant-number Monte Carlo simulation of population balances. Chem. Eng. Sci. 1998, 53:1777-1786.
29. Tandon P., Rosner D.E. Monte Carlo simulation of particle aggregation and simultaneous restructuring. Colloid Interface Sci. 1999, 213:273-286.
30. Woo X.Y., Tan R.B.H., Braatz R.D. Precise tailoring of the crystal size distribution by controlled growth and continuous seeding from impinging jet crystallizers. Cryst. Eng. Commun. 2011, 13:2006-2014.