Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

Simulation of bleaching of soda pulp from Hesperaloe funifera by polynomial and neural fuzzy models

Rosal Antonio1, Valls Cristina2, Roncero María B.2 and Rodríguez Alejandro3*
1Department of Molecular Biology and Biochemical Engineering University Pablo of Olavide, Road of Utrera, Km 1, 41013, Sevilla, Spain. 2Department of Textile and Paper Engineering, Technology Polytechnic University of Cataluña, Campus of Terrassa, Colom 11. 08222, Terrassa, Barcelona, Spain. 3Department of Chemical Engineering, University of Córdoba, Campus of Rabanales, IV National Road, Km 396, 14014, Cordoba, Spain.
Email: [email protected]

  •  Accepted: 07 June 2012
  •  Published: 23 October 2012

Abstract

Influence of variables [soda, (0.5 to 3.0%), hydrogen peroxide (1.0 to 10.0%) and time (1 to 5 h)] in the bleaching of soda pulp of Hesperaloe funifera, on the properties of bleached pulps, was studied. Polynomial and neural fuzzy models had reproduced the results of Kappa number, brightness and viscosity of the pulps with errors less than 10 and 15%, respectively. By simulating the bleaching process of pulp H. funifera, with the polynomial and neural fuzzy models, the optimal values of operating variables can be found, so that the properties of bleached pulps differ little from their best values and instead will save chemical reagents, energy and plant size, operating with lower values of operating variables. Thus, by application of polynomial models, it was found that operating with a soda concentration of 0.5%, a hydrogen peroxide concentration of 5.5% and for a processing time of 3 h, it was possible to get a pulp with a brightness of 65.9% and a viscosity of 587 ml/g.

 

Key words: Pulp bleaching, Hesperaloe funifera, hydrogen peroxide, neural fuzzy model, polynomial model.