Ternary gas permeation through synthesized pdms membranes: Experimental and CFD simulation basedon sorption-dependent system using neural network model

Polymer Engineering and Science

Volumn 54, Issue 1, 2014, Pages 215-226

  Farno, Ehsan ^a   Rezakazemi, Mashallah ^a   Mohammadi, Toraj ^b   Kasiri, Norollah ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; DIFFUSION; FORECASTING; GAS MIXTURES; GAS PERMEABLE MEMBRANES; MICROCHANNELS; NEURAL NETWORKS; POLYDIMETHYLSILOXANE; SILICONES;

ARTIFICIAL NEURAL NETWORK MODELING; COMPUTATIONAL FLUID DYNAMICS MODELING; COMPUTATIONAL FLUID DYNAMICS SIMULATIONS; EXPERIMENTAL FLUIDS; GAS PERMEATION; GASES MIXTURE; NEURAL NETWORK MODEL; PDMS MEMBRANE; PREDICTIVE MODELS; SYNTHESISED;

SORPTION;

EID: 84890129932     PISSN: 00323888     EISSN: 15482634     Source Type: Journal    
DOI: 10.1002/pen.23555     Document Type: Article

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