Prediction of Activities of Small Molecules in Polymer Membrane Materials Using the Group Contribution Equation of State

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著者

    • Zeng Chuyi ZENG Chuyi
    • Membrane Technology and Engineering Research Center, Department of Chemical Engineering, Tsinghua University
    • Li Jiding LI Jiding
    • Membrane Technology and Engineering Research Center, Department of Chemical Engineering, Tsinghua University
    • CHEN Tianquan
    • Membrane Technology and Engineering Research Center, Department of Chemical Engineering, Tsinghua University
    • CHEN Cuixian
    • Membrane Technology and Engineering Research Center, Department of Chemical Engineering, Tsinghua University

抄録

Estimation of the activities or solubility of small molecules in polymers is essential in a number of process applications such as the mixture separation by polymeric membrane, polymeric membrane preparation, polymer preparation, especially, the selection of membrane material for a predefined separation process. The VTPR <I>EoS</I>-<I>G</I><SUP>E</SUP> group contribution model has been used to predict the activities of water, alkane, and aromatic small molecules in poly(vinyl alcohol), poly(dimethyl siloxane), and polyisobutylene polymeric membrane materials. The influence of temperature and the molar mass of polymer on the activities of small molecules in the polymeric membrane are discussed. It has been shown that the results predicted by the VTPR <I>EoS</I>-<I>G</I><SUP>E</SUP> model are good agreement with the experimental ones, and the total average deviation between the experimental and the calculated is no more than 3%. It should be expected that the VTPR <I>EoS</I>-<I>G</I><SUP>E</SUP> group contribution model could be applied to the polymeric membrane material selection, to the polymeric membrane preparation processes and to the polymeric material preparation processes.

収録刊行物

  • Journal of chemical engineering of Japan  

    Journal of chemical engineering of Japan 39(11), 1145-1153, 2006-11-01 

    The Society of Chemical Engineers, Japan

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各種コード

  • NII論文ID(NAID)
    10018401598
  • NII書誌ID(NCID)
    AA00709658
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    00219592
  • NDL 記事登録ID
    8553534
  • NDL 雑誌分類
    ZP1(科学技術--化学・化学工業)
  • NDL 請求記号
    Z53-R395
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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