A systematic framework for design of process monitoring and control (PAT) systems for crystallization processes

Computers and Chemical Engineering

Volumn 54, Issue , 2013, Pages 8-23

  Samad, Noor Asma Fazli Abdul ^a   Sin, Gürkan ^a   Gernaey, Krist V ^a   Gani, Rafiqul ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Analytical CSD estimator; Crystallization; Generic modelling framework; PAT system; Response surface method

Indexed keywords

ANALYTICAL CSD ESTIMATOR; MODELLING FRAMEWORK; MONITORING AND CONTROL SYSTEMS; PAT SYSTEM; POTASSIUM DIHYDROGEN PHOSPHATE; PROCESS ANALYTICAL TECHNOLOGY; PROCESS MONITORING AND CONTROL; RESPONSE SURFACE METHOD;

CONTROL SYSTEMS; CRYSTALLIZATION; DESIGN; PROCESS CONTROL; SUPERSATURATION;

PROCESS MONITORING;

EID: 84876336952     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2013.03.003     Document Type: Article

References (27)

1. Aamir, E. (2010). Population balance model-based optimal control of batch crystallization processes for systematic crystal size distribution design. Ph.D. Thesis, Department of Chemical Engineering, Loughborough University, United Kingdom.
2. Box G.E.P., Hunter J.S. Multi-factor experimental designs for exploring response surfaces. The Annals of Mathematical Statistics 1957, 28(1):195-241.
3. Braatz R.D. Advanced control of crystallization processes. Annual Reviews in Control 2002, 26:87-99.
4. Briesen H. Simulation of crystal size and shape by means of a reduced two-dimensional population balance model. Chemical Engineering Science 2006, 61:104-112.
5. Fiordalis A., Georgakis C. Design of dynamic experiments versus model-based optimization of batch crystallization processes. Proceedings of the 18th IFAC World Congress, Volume 18 Part 1 2011, 14019-14024.
6. Fujiwara M., Nagy Z.K., Chew J.W., Braatz R.D. First-principles and direct design approaches for the control of pharmaceutical crystallization. Journal of Process Control 2005, 15:493-504.
7. Gernaey K.V., Cervera-Padrell A.E., Woodley J.M. A perspective on PSE in pharmaceutical process development and innovation. Computers and Chemical Engineering 2012, 42:15-29.
8. Gunawan R., Fusman I., Braatz R.D. High resolution algorithms for multidimensional population balance equations. American Institute of Chemical Engineers Journal 2004, 50(11):2738-2749.
9. Heitzig M., Sin G., Sales-Cruz M., Glarborg P., Gani R. Computer-aided modeling framework for efficient model development, analysis and identification: Combustion and reactor modeling. Industrial and Engineering Chemistry Research 2011, 50(9):5253-5265.
10. Ma D.L., Tafti D.K., Braatz R.D. High-resolution simulation of multidimensional crystal growth. Industrial and Engineering Chemistry Research 2002, 41:6217-6223.
11. Myers R.H., Montgomery D.C., Anderson-Cook C.M. Response surface methodology: Process and product optimization using designed experiments 2009, John Wileys & Sons Inc., Hoboken, New Jersey. third ed.
12. Nagy Z.K., Aamir E. Systematic design of supersaturation controlled crystallization processes for shaping the crystal size distribution using an analytical estimator. Chemical Engineering Science 2012, 84:656-670.
13. Nagy Z.K., Braatz R.D. Advances and new directions in crystallization control. Annual Review of Chemical and Biomolecular Engineering 2012, 3:55-75.
14. Nagy Z.K. Model based robust control approach for batch crystallization product design. Computers and Chemical Engineering 2009, 33:1685-1691.
15. Nagy Z.K., Chew J.W., Fujiwara M., Braatz R.D. Comparative performance of concentration and temperature controlled batch crystallizations. Journal of Process Control 2008, 18:399-407.
16. Nagy Z.K., Braatz R.D. Robust nonlinear model predictive control of batch processes. American Institute of Chemical Engineers Journal 2003, 49(7):1776-1786.
17. Qamar S., Ashfaq A., Warnecke G., Angelov I., Elsner M.P., Seidel-Morgenstern A. Adaptive high-resolution schemes for multidimensional population balances in crystallization processes. Computers and Chemical Engineering 2007, 31:1296-1311.
18. Rawlings J.B., Miller S.M., Witkowski W.R. Model identification and control of solution crystallization processes: A review. Industrial and Engineering Chemistry Research 1993, 32(7):1275-1296.
19. Samad, N. A. F. A., Sin, G., Gernaey, K. V., & Gani, R. Introducing uncertainty analysis of nucleation and crystal growth models in Process Analytical Technology (PAT) system design of crystallization processes. European Journal of Pharmaceutics and Biopharmaceutics, under review.
20. Samad N.A.F.A., Meisler K.T., Gernaey K.V., von Solms N.S., Gani R. Systematic identification of crystallization kinetics within a generic modelling framework. Computer Aided Chemical Engineering 2012, 31:945-949.
21. Samad N.A.F.A., Singh R., Sin G., Gernaey K.V., Gani R. A generic multi-dimensional model-based system for batch cooling crystallization processes. Computers and Chemical Engineering 2011, 35:828-843.
22. Shi D., El-Farra N.H., Li M., Mhaskar P., Christofides P.D. Predictive control of particle size distribution in particulate processes. Chemical Engineering Science 2006, 61:268-281.
23. Singh R., Gernaey K.V., Gani R. ICAS-PAT: A software for design, analysis and validation of PAT systems. Computers and Chemical Engineering 2010, 34:1108-1136.
24. Singh R., Gernaey K.V., Gani R. Model-based computer-aided framework for design of process monitoring and analysis systems. Computers and Chemical Engineering 2009, 33:22-42.
25. Wibowo C., Ng K.M. Operational issues in solids processing plants: systems view. American Institute of Chemical Engineers Journal 2001, 47(1):107-125.
26. Zhang G.P., Rohani S. Dynamic optimal control of batch crystallization processes. Chemical Engineering Communications 2004, 191(3):356-372.
27. Zhang G.P., Rohani S. On-line optimal control of a seeded batch cooling crystallizer. Chemical Engineering Science 2003, 58(9):1887-1896.