Optimal (Solvent) Mixture Design through a Decomposition Based CAMD methodology

L. Achenie; Arunprakash T. Karunanithi; Rafiqul Gani

doi:10.1016/S1570-7946(04)80102-0

Optimal (Solvent) Mixture Design through a Decomposition Based CAMD methodology

L. Achenie, Arunprakash T. Karunanithi, Rafiqul Gani

Department of Chemical and Biochemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Computer Aided Molecular/Mixture design (CAMD) is one of the most promising techniques for solvent design and selection. A decomposition based CAMD methodology has been formulated where the mixture design problem is solved as a series of molecular and mixture design sub-problems. This approach is able to overcome most of the difficulties associated with the solution of mixture design problems. The new methodology has been illustrated with the help of a case study involving the design of solvent-anti solvent binary mixtures for crystallization of Ibuprofen.

Original language	English
Title of host publication	European Symposium on Computer Aided Process Engineering - 14
Publisher	Elsevier
Publication date	2004
Pages	217-222
ISBN (Print)	0-444-51694-8, 978-0-444-51694-7
DOIs	https://doi.org/10.1016/S1570-7946(04)80102-0
Publication status	Published - 2004
Event	14th European Symposium on Computer Aided Process Engineering - Lisbon, Portugal Duration: 16 May 2004 → 19 May 2004 Conference number: 14 http://www.deb.uminho.pt/escape14/

Conference

Conference	14th European Symposium on Computer Aided Process Engineering
Number	14
Country/Territory	Portugal
City	Lisbon
Period	16/05/2004 → 19/05/2004
Internet address	http://www.deb.uminho.pt/escape14/

Series	Computer Aided Chemical Engineering
Volume	18
ISSN	1570-7946

Keywords

CAMD
MINLP
Optimization
Mixture design
Solvents
Ibuprofen

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10.1016/S1570-7946(04)80102-0

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title = "Optimal (Solvent) Mixture Design through a Decomposition Based CAMD methodology",

abstract = "Computer Aided Molecular/Mixture design (CAMD) is one of the most promising techniques for solvent design and selection. A decomposition based CAMD methodology has been formulated where the mixture design problem is solved as a series of molecular and mixture design sub-problems. This approach is able to overcome most of the difficulties associated with the solution of mixture design problems. The new methodology has been illustrated with the help of a case study involving the design of solvent-anti solvent binary mixtures for crystallization of Ibuprofen. ",

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Achenie, L, Karunanithi, AT & Gani, R 2004, Optimal (Solvent) Mixture Design through a Decomposition Based CAMD methodology. in European Symposium on Computer Aided Process Engineering - 14. Elsevier, Computer Aided Chemical Engineering, vol. 18, pp. 217-222, 14th European Symposium on Computer Aided Process Engineering, Lisbon, Portugal, 16/05/2004. https://doi.org/10.1016/S1570-7946(04)80102-0

Optimal (Solvent) Mixture Design through a Decomposition Based CAMD methodology. / Achenie, L.; Karunanithi, Arunprakash T.; Gani, Rafiqul.
European Symposium on Computer Aided Process Engineering - 14. Elsevier, 2004. p. 217-222 (Computer Aided Chemical Engineering, Vol. 18).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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ER -

Optimal (Solvent) Mixture Design through a Decomposition Based CAMD methodology

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Conference

Keywords

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