Separation of toluene/n-heptane mixtures experimental, modeling and optimization

Chemical Engineering Journal

Volumn 173, Issue 1, 2011, Pages 11-18

  Farshad, F ^a   Iravaninia, M ^a   Kasiri, N ^a   Mohammadi, T ^b   Ivakpour, J ^c  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c RESEARCH INSTITUTE OF PETROLEUM INDUSTRY RIPI   (Iran)

Author keywords

Composite membrane; Multi objective optimization; Neural network; Pervaporation; Toluene n heptane mixtures

Indexed keywords

BLACK-BOX MODEL; CORRELATION COEFFICIENT; DECISION VARIABLES; EXPERIMENTAL DATA; FEED CONCENTRATION; HIDDEN LAYERS; HIDDEN NEURONS; MEMBRANE PERFORMANCE; MODELING AND OPTIMIZATION; MULTI OBJECTIVE; MULTI-LAYER FEED FORWARD; MULTI-OBJECTIVE GENETIC ALGORITHM; N-HEPTANES; OPERATING CONDITION; OPTIMUM OPERATING CONDITIONS; PARETO FRONT; PARETO SET; PERMEATE PRESSURES; PERMEATION FLUXES; SEPARATION PROCESS; TOTAL FLUX; TRAINING METHODS;

ALGORITHMS; HEPTANE; MIXTURES; MULTIOBJECTIVE OPTIMIZATION; PERMEATION; PERVAPORATION; TOLUENE;

NEURAL NETWORKS;

EID: 80052277765     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2011.07.018     Document Type: Article

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