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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

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

Revista

Título: Industrial & Engineering Chemistry Research

Vol. 47

Páginas: 486-490

ISSN: 0888-5885

Editora: American Chemical Society

Indexação

ISI Web of Knowledge - 31 Citações

ISI Web of Science

Scopus - 32 Citações

COMPENDEX

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia química

FOS: Ciências da engenharia e tecnologias > Engenharia química

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5