Separation of heavy gases from light gases using synthesized PDMS nano-composite membranes: Experimental and neural network modeling

Separation and Purification Technology

Volumn 81, Issue 3, 2011, Pages 400-410

  Farno, Ehsan ^a   Ghadimi, Ali ^a   Kasiri, Noorollah ^a   Mohammadi, Toraj ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial neural network modeling; Membrane gas separation; Nano composite membranes; Permeability; Solubility

Indexed keywords

BOILING POINT; COMPOSITE MEMBRANES; DEEP NEURAL NETWORKS; FORECASTING; GAS PERMEABILITY; GAS PERMEABLE MEMBRANES; GASES; MECHANICAL PERMEABILITY; MEMBRANES; NANOCOMPOSITES; NEURAL NETWORKS; PERMEATION; SEPARATION; SILICA; SILICONES; SOLUBILITY;

ARTIFICIAL NEURAL NETWORK MODELING; BOILING-POINT TEMPERATURE; CRITICAL TEMPERATURES; EFFECTIVE PARAMETERS; GAS SEPARATIONS; NANO-COMPOSITE MEMBRANES; NEURAL NETWORK MODEL; PERMEATION BEHAVIOR;

LOADING;

EID: 84863813728     PISSN: 13835866     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.seppur.2011.08.008     Document Type: Article

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