Prediction of the gas-liquid volumetric mass transfer coefficients in surface-aeration and gas-inducing reactors using neural networks

Chemical Engineering and Processing: Process Intensification

Volumn 42, Issue 8-9, 2003, Pages 621-643

  Lemoine, R ^a   Fillion, B ^a   Behkish, A ^a   Smith, A E ^b   Morsi, B I ^a  

^a University of Pittsburgh   (United States)

^b AUBURN UNIVERSITY   (United States)

Author keywords

Back propagation neural network; Gas inducing reactors; Gas liquid systems; Surface aeration reactors; Volumetric gas liquid mass transfer coefficient

Indexed keywords

BACKPROPAGATION; DIFFUSION IN GASES; MASS TRANSFER; NEURAL NETWORKS; PARTIAL PRESSURE; SURFACE TENSION; VISCOSITY;

SURFACE-AERATION REACTORS (SAR);

CHEMICAL REACTORS;

GAS-LIQUID TWO-PHASE FLOW; MASS TRANSFER; NEURAL NETWORK; REACTOR; VOLUMETRIC FLOWMETER;

EID: 0038327894     PISSN: 02552701     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0255-2701(02)00211-8     Document Type: Article

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