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Volumn 44, Issue 1 PART 1, 2011, Pages 14019-14024

Design of Dynamic Experiments versus model-based optimization of batch crystallization processes

Author keywords

Batch crystallization; Design of Experiments; Optimization

Indexed keywords

CRYSTALLIZATION; OPTIMIZATION;

EID: 84866760299     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20110828-6-IT-1002.01251     Document Type: Conference Paper
Times cited : (6)

References (14)
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  • 4
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    • Hu, Q.1    Rohani, S.2    Jutan, A.3
  • 5
    • 50549203562 scopus 로고
    • Some problems in particle technology. A statistical mechanical formulation
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  • 6
    • 34248180520 scopus 로고    scopus 로고
    • A software environment for simultaneous dynamic optimization
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  • 10
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    • Modelling and control of combined cooling and antisolvent crystallization processes
    • Z.K. Nagy, M. Fujiwara, and R.D. Braatz. Modelling and control of combined cooling and antisolvent crystallization processes. Journal of Process Control, 18(9):856-864, 2008.
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    • Multi-objective optimization of seeded batch crystallization processes
    • D. Sarkar, S. Rohani, and A. Jutan. Multi-objective optimization of seeded batch crystallization processes. Chemical Engineering Science, 61(16):5282-5295, 2006.
    • (2006) Chemical Engineering Science , vol.61 , Issue.16 , pp. 5282-5295
    • Sarkar, D.1    Rohani, S.2    Jutan, A.3
  • 12
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    • Choosing an operating policy for seeded batch crystallization
    • J.D. Ward, D.A. Mellichamp, and M.F. Doherty. Choosing an operating policy for seeded batch crystallization. AIChE Journal, 52(6):2046-2054, 2006.
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    • Model-based optimization of particle size distribution in batch-cooling crystallization of paracetamol
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  • 14
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    • Dynamic modeling and operation of a seeded batch cooling crystallizer
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.