Population balance based modeling of changes in cellulose molecular weight distribution during ageing

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• 作者：Waqar Ahmad (1)
  Susanna Kuitunen (2)
  Herbert Sixta (3)
  Ville Alopaeus (1)
  
• 关键词：Cellulose ageing ; Modeling ; Population balance ; Molecular weight distribution ; Viscose process
• 刊名：Cellulose
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：22
• 期：1
• 页码：151-163
• 全文大小：785 KB
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• 作者单位：Waqar Ahmad (1)
  Susanna Kuitunen (2)
  Herbert Sixta (3)
  Ville Alopaeus (1)
  
  1. Department of Biotechnology and Chemical Technology, School of Chemical Technology, Aalto University, Aalto, P.O. Box 16100, 00076, Espoo, Finland
  2. Neste Jacobs, P.O. Box 310, 06101, Porvoo, Finland
  3. Department of Forest Products Technology, School of Chemical Technology, Aalto University, Aalto, P.O. Box 16300, 00076, Espoo, Finland
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Bioorganic Chemistry
  Physical Chemistry
  Organic Chemistry
  Polymer Sciences
  
• 出版者：Springer Netherlands
• ISSN：1572-882X

文摘

Ageing is an important processing step in viscose fiber production. The degree of polymerization of viscose solution is controlled by ageing of alkali cellulose for desired fiber properties. In this work, alkali cellulose was treated under typical ageing conditions for different time periods. The changes in the molecular weight distribution due to the ageing reactions were analyzed by size exclusion chromatography with multi-angle laser light scattering detection. Furthermore, a population balance based approach to model the evolution of the molecular weight distribution during cellulose ageing is introduced. Several scission rate models capable of predicting the evolution of the molecular weight distribution are proposed and evaluated against the experimental data. The comparison of results from different models revealed that the scission rate of polymers is a function of the degree of polymerization and ageing time period. This modelling approach provided the possibility of more accurate and efficient solution than the previous similar models.