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

L. Achenie, Arunprakash T. Karunanithi, Rafiqul Gani

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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 languageEnglish
Title of host publicationEuropean Symposium on Computer Aided Process Engineering - 14
PublisherElsevier
Publication date2004
Pages217-222
ISBN (Print)0-444-51694-8, 978-0-444-51694-7
DOIs
Publication statusPublished - 2004
Event14th European Symposium on Computer Aided Process Engineering - Lisbon, Portugal
Duration: 16 May 200419 May 2004
Conference number: 14
http://www.deb.uminho.pt/escape14/

Conference

Conference14th European Symposium on Computer Aided Process Engineering
Number14
CountryPortugal
CityLisbon
Period16/05/200419/05/2004
Internet address
SeriesComputer Aided Chemical Engineering
Volume18
ISSN1570-7946

Keywords

  • CAMD
  • MINLP
  • Optimization
  • Mixture design
  • Solvents
  • Ibuprofen

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