Evaluation of controlled cooling for seeded batch crystallization incorporating dissolution

Chemical Engineering Science

Volumn 77, Issue , 2012, Pages 10-17

  Seki, Hiroya ^a   Furuya, Noriyoshi ^a   Hoshino, Satoshi ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Batch; Crystallization; Optimization; Population balance; Process control; Simulation

Indexed keywords

BATCH; BATCH COOLING CRYSTALLIZATION; CONCENTRATION MEASUREMENT; CONTROL SCHEMES; CONTROLLED COOLING; CRYSTAL DISSOLUTION; CRYSTAL SIZE; DISSOLUTION OF CRYSTALS; EXTENSIVE SIMULATIONS; FEED CONCENTRATION; OFF-LINE OPTIMIZATION; OPEN LOOPS; OPTIMAL COOLING; OPTIMAL TRAJECTORIES; POPULATION BALANCES; POTASSIUM NITRATE; PROCESS CONTROL STRATEGIES; PRODUCT CRYSTALS; REFERENCE-TRACKING; REPRODUCIBILITIES; ROBUST PERFORMANCE; SECOND MOMENTS; SEEDED BATCH CRYSTALLIZATION; SENSOR MEASUREMENTS; SIMULATION; SIMULATION STUDIES; STAGE CONTROL;

CRYSTALLIZATION; DISSOLUTION; FEEDBACK CONTROL; GRAIN SIZE AND SHAPE; OPTIMIZATION; POTASSIUM; PROCESS CONTROL;

COOLING;

EID: 84862879015     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2012.01.057     Document Type: Article

References (38)

1. Aamir E., Nagy Z.K., Rielly C.D. Evaluation of the effect of seed preparation method on the product crystal size distribution for batch cooling crystallization processes. Cryst. Growth Des. 2010, 10:4728-4740.
2. Bakar M.R.A., Nagy Z.K., Rielly C.D. Seeded batch cooling crystallization with temperature cycling for the control of size uniformity and polymorphic purity of sulfathiazole crystals. Org. Process Res. Dev. 2009, 13:1343-1356.
3. Birge, B., 2006. Particle swarm optimization toolbox. http://www.mathworks.com/matlabcentral/fileexchange/7506.
4. Bohlin M., Rasmuson Å.C. Application of controlled cooling and seeding in batch crystallization. Can. J. Chem. Eng. 1992, 70:120-126.
5. Chang S-C. The method of space-time conservation element and solution element-new approach for solving the Navier-Stokes and Euler equations. J. Comput. Phys. 1995, 119:295-324.
6. Chew J.W., Black S.N., Chow P.S., Tan R.B.H. Comparison between open-loop temperature control and closed-loop supersaturation control for cooling crystallization of glycine. Ind. Eng. Chem. Res. 2007, 46:830-838.
7. Chew J.W., Chow P.S., Tan R.B.H. Automated in-line technique using FBRM to achieve consistent product quality in cooling crystallization. Cryst. Growth Des. 2007, 7:1416-1422.
8. Choong K.L., Smith R. Optimization of batch cooling crystallization. Chem. Eng. Sci. 2004, 59:313-327.
9. Chung S.H., Ma D.L., Braatz R.D. Optimal seeding in batch crystallization. Can. J. Chem. Eng. 1999, 77:590-596.
10. Doki N., Kubota N., Sato A., Yokota M. Effect of cooling mode on product crystal size in seeded batch crystallization of potassium alum. Chem. Eng. J. 2001, 81:313-316.
11. Doki N., Seki H., Takano K., Asatani H., Yokota M., Kubota N. Process control of seeded batch cooling crystallization of the metastable α-form glycine using an in-situ ATR-FTIR spectrometer and an in-situ FBRM particle counter. Cryst. Growth Des. 2004, 4:949-953.
12. Fujiwara M., Chow P.S., Ma D.L., Braatz R.D. Paracetamol crystallization using laser backscattering and ATR-FTIR spectroscopy: metastability, agglomeration, and control. Cryst. Growth Des. 2002, 2:363-370.
13. Gu S., Igarashi K., Ooshima H. Dissolution kinetics of crystals in suspension and its application to l-aspartic acid crystals. Chem. Eng. J. 2002, 88:53-58.
14. Harner R.S., Ressler R.J., Briggs R.L., Hitt J.E., Larsen P.A., Frank T.C. Use of a fiber-optic turbidity probe to monitor and control of commercial-scale unseeded batch crystallizations. Org. Process Res. Dev. 2009, 13:114-124.
15. Jagadesh D., Kubota N., Yokota M., Doki N., Sato A., Tavare N.S. Large and mono-sized product crystals from natural cooling mode batch crystallizer. J. Chem. Eng. Jpn. 1996, 29:865-873.
16. Jagadesh D., Kubota N., Yokota M., Doki N., Sato A. Seeding effect on batch crystallization of potassium sulfate under natural cooling mode and a simple design method of crystallizer. J. Chem. Eng. Jpn. 1999, 32:514-520.
17. Jones A.G. Optimal operation of a batch cooling crystallizer. Chem. Eng. Sci. 1974, 29:1075-1087.
18. Kourti T., MacGregor J.F. Particle size determination using turbidimetry: capabilities, limitations, and evaluation for on-line applications. ACS Symp. Ser. 1991, 472:34-63.
19. Kubota N., Onosawa M. Seeded batch crystallization of ammonium aluminum sulfate from aqueous solution. J. Cryst. Growth 2009, 311:4525-4529.
20. Lewiner F., Févotte G., Klein J.P., Puel F. An online strategy to increase the average crystal size during organic batch cooling crystallization. Ind. Eng. Chem. Res. 2002, 41:1321-1328.
21. Lu A.T.K., Frisella M.A., Johnson K.C. Dissolution modeling: factors affecting the dissolution rates of polydisperse powders. Pharmaceut. Res. 1993, 10:1308-1314.
22. Lung-Somarriba B.L.M., Moscosa-Santillán M., Porte C., Delacroix A. Effect of seeded surface area on crystal size distribution in glycine batch cooling crystallization: a seeding methodology. J. Cryst. Growth 2004, 270:624-632.
23. Ma D.L., Chung S.H., Braatz R.D. Worst-case performance analysis of optimal batch control trajectories. AIChE J. 1999, 45:1469-1476.
24. Mesbah A., Huesman A.E.M., Kramer H.J.M., Van den Hof P.M.J. A comparison of nonlinear observers for output feedback model-based control of seeded batch crystallization processes. J. Process Control 2011, 21:652-666.
25. Moscosa-Santillán M., Bals O., Fauduet H., Porte C., Delacroix A. Study of batch crystallization and determination of an alternative temperature-time profile by on-line turbidity analysis-application to glycine crystallization. Chem. Eng. Sci. 2000, 55:3759-3770.
26. Mullin J.W., Nývlt J. Programmed cooling of batch crystallizers. Chem. Eng. Sci. 1971, 26:369-377.
27. Nagy Z.K., Braatz R.D. Open-loop and closed-loop robust optimal control of batch processes using distributional and worst-case analysis. J. Process Control 2004, 14:411-422.
28. Nagy Z.K., Chew J.W., Fujiwara M., Braatz R.D. Comparative performance of concentration and temperature controlled batch crystallizations. J. Process Control 2008, 18:399-407.
29. Nagy Z.K., Aamir E., Rielly C.D. Internal fines removal using population balance model based control of crystal size distribution under dissolution, growth and nucleation mechanisms. Cryst. Growth Des. 2011, 11:2205-2219.
30. Neuman A., Kramer H. A comparative study of various size distribution measurement systems. Part. Part. Syst. Charact. 2002, 19:17-27.
31. Noyes A.A., Whitney W.R. The rate of solution of solid substances in their own solutions. J. Am. Chem. Soc. 1897, 19:930-934.
32. Rawlings J.B., Miller S.M., Witkowski W.R. Model identification and control of solution crystallization processes: a review. Ind. Eng. Chem. Res. 1993, 32:1275-1296.
33. Srinivasan B., Bonvin D., Visser E., Palanki S. Dynamic optimization of batch processes II. Role of measurements in handling uncertainty. Comput. Chem. Eng. 2002, 27:27-44.
34. Takiyama H., Sindo K., Matsuoka M. Effects of undersaturation o crystal size distribution in cooling type batch crystallization. J. Chem. Eng. Jpn. 2002, 35:1072-1077.
35. Ward J.D., Mellichamp D.A., Doherty M.F. Choosing an operating policy for seeded batch crystallization. AIChE J. 2006, 52:2046-2054.
36. Ward J.D., Yu C.C. Population balance modeling in Simulink: PCSS. Comput. Chem. Eng. 2008, 32:2233-2242.
37. Worlitschek J., Mazzotti M. Model-based optimization of particle size distribution in batch-cooling crystallization of paracetamol. Cryst. Growth Des. 2004, 4:891-903.
38. 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. Cryst. Growth Des. 2009, 9:182-191.