شماره ركورد كنفرانس :
5041
عنوان مقاله :
A Novel Strategy for Estimation of Interface Characteristics Parameters for Polymer Chain Rigidification Morphology in Mixed Matrix Membranes
Author/Authors :
M. M. Zarabadi Poor Department of Chemical Engineering - Isfahan University of Technology, Isfahan, Iran , A. Mehrabani-Zeinabad Department of Chemical Engineering - Isfahan University of Technology, Isfahan, Iran , M. Sadeghi Department of Chemical Engineering - Isfahan University of Technology, Isfahan, Iran , S. Maghami Department of Chemical Engineering - Isfahan University of Technology, Isfahan, Iran
كليدواژه :
Mixed Matrix Membranes , Mathematical Modeling , Interface Thickness , Polymer Chain Rigidification , Particle Pore Blockage
عنوان كنفرانس :
The 10th International Chemical Engineering Congress & Exhibition (IChEC 2018)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
Mathematical modeling has been employed for prediction of permeability and selectivity of MMMs. In these membrances, there are possibility formation of interfacial defects between particles and polymer matrix due to existance of interaction between them. Polymer chain rigidification as a defect induced by strong polymer-particle interaction is often occurred MMMs. In this regard, a novel simple strategy was developed based on modified Maxwell model for specification of optimal characteristic parameters of the rigidified layer along with pore blockage of particles. Validity of the proposed strategy was investigated through published gas separation. A very good agreement between the model predictions and experimental data was observed. Application of the proposed strategy in predicting permeability of O2 and N2 gases reveal that their average absolute relative error are 1.21% and 2.19%, respectively, which represent a siginificant reduction in comparison with a published experimental results, i.e. 1.76% and 3.36%, respectively. Furthermore, the obtained predicted data have a better adjustment with experimental data in comparison with the published modified Maxwell model data.