Molecular Weight Control in Acrylonitrile Polymerization with Neural Network Based Controllers

Atasoy I., Yuceer M., Berber R.

Joint Conference Event of the 9th Symposium on Process Systems Engineering (PSE 2006)/16th European Symposium on Computer Aided Process Engineering (ESCAPE-16), Garmisch-Partenkirchen, Almanya, 9 - 13 Temmuz 2006, cilt.21, ss.1617-1622 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 21
  • Basıldığı Şehir: Garmisch-Partenkirchen
  • Basıldığı Ülke: Almanya
  • Sayfa Sayıları: ss.1617-1622
  • İnönü Üniversitesi Adresli: Evet

Özet

Acrylic fiber is commercially produced by free radical polymerization, initiated by a redox system. Industrial production of polyacrylonitrile is a variant of aqueous dispersion polymerization, which takes place in homogenous phase under isothermal conditions with perfect mixing. The fact that the kinetics is a lot more complicated than that of ordinary polymerization systems makes the problem of controlling molecular weight a difficult one. On the other hand, abundant data is being gathered in industrial polymerization systems, and this information makes the neural network based controllers a good candidate for a difficult control problem.