An Artificial Neural Network Approach for the Prediction of Extraction Performance of Emulsion Liquid Membrane
Journal Title: Journal of Chemical Engineering & Process Technology - Year 2017, Vol 8, Issue 4
Abstract
This paper reports the use of artificial neural networks (ANN) approach to predict nickel concentration in external phase during emulsion liquid membrane extraction process. Experimental data from laboratory batch analysis of nickel extraction have been used to train, validate and test the back-propagation ANN model. The input neurons correspond to, external phase pH, stripping phase concentration, stirring speed, carrier concentration, surfactant concentration, treatment ratio (volume ratio of emulsion to external phase), phase ratio (volume ratio of membrane to stripping phase), initial external phase nickel(II) concentration, and time. A tree -layer network with different hidden neurons and different learning algorithms such as LM, SCG, and BR were examined. The network with six hidden neurons and Bayesian regularization (BR) algorithm showed good performance. The predicted values of solute concentration in external phase are found to be in good agreement with the experimental results, with average absolute deviation (ADD%) of 0.2664% and correlation coefficient R2 of 0.977. The results of this study show that the ANN model trained on experimental measurements can be successfully applied to the rapid prediction of external phase concentration
Authors and Affiliations
Hachemaoui A, Belhamel K
Keywords
Related Articles
- EP ID EP380834
- DOI 10.4172/2157-7048.1000356
- Views 54
- Downloads 0
Improved Fault Detection and Process Safety Using Multiscale Shewhart Charts
Process safety is a critical component in various process industries. Statistical process monitoring techniques were initially developed to maximize efficiency and productivity, but over the past few decades with catastr...
Effect of Temperature on Regeneration of Deactivated Catalytic Reforming Catalyst (Pt/Al2O3).
Catalytic reforming process will continue play an important role in meeting the world’s demands for high octane gasoline, petrochemicals and hydrogen hence the need to embark on continued improvement of the process. This...
Metastability of CuCl2 in H2O-HCl for the Copper-Chlorine Thermochemical Cycle of Hydrogen Production
In this paper, metastability of CuCl2 in H2O-HCL for applications to the Cu-Cl thermochemical cycle is experimentally investigated to decrease crystallizing (precipitating) temperature and reduce thermal energy requireme...
Experimental and Numerical Study of Multiphase Mixing Hydrodynamics in Batch Stirred Tank Applied to Ammoniacal Thiosulphate Leaching of Gold
Hydrodynamics of aerated slurry is studied experimentally and numerically using the example of thiosulphate leaching of gold concentrate. The studied milled concentrate has shear-thinning fluid rheology and it was imitat...
Reactor Performance and Design Concept in Additively Manufactured Milli-Scale Reactors
Millireactor or minireactor technology in small scale production has gained increasing attention in microreactor technology research because high pressure drops, unequal flow distribution into micrometer scale channels,...