Neural network modeling and simulation of the solid/liquid activated carbon adsorption process

• Type: Article in International Scientific Journal
• Date: 2008

Authors

Vasanth V Kumar (Author) Other; Porkodi, K (Author) Other; Avila L A Rondon (Author) Other; Rocha, F (Author) FEUP

Journal

Title: Industrial & Engineering Chemistry Research

Vol. 47

Pages: 486-490

ISSN: 0888-5885

Publisher: American Chemical Society

Indexing

ISI Web of Knowledge - 31 Citations

ISI Web of Science

Scopus - 32 Citations

COMPENDEX

Scientific classification

CORDIS: Technological sciences > Engineering > Chemical engineering

FOS: Engineering and technology > Chemical engineering

Other information

Authenticus ID: P-004-218

DOI: 10.1021/ie071134p

Abstract (EN): A three-layer feed-forward neural network was constructed and tested to analyze the kinetic dye uptake of a batch activated carbon adsorption process. The operating variables studied are the contact time, initial dye concentration, agitation speed, temperature, initial solution pH, activated carbon mass, and volume of the dye solution treated. The studied operating variables were used as the input to the constructed neural network to predict the dye uptake at any time as the output or the target. The constructed network was found to be precise in modeling the rate of dye uptake for the operating conditions studied. The constructed neural network was found to be highly precise in predicting the dye uptake rate for the new input data, which are kept unaware of the trained neural network showing its applicability to determine the reaction rate for any operating conditions.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5