Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Prediction of standard particleboard mechanical properties utilizing an artificial neural network and subsequent comparison with a multivariate regression model
Year:2008
Research Areas
  • Organic materials
Information
Abstract
The physical properties (specific gravity, moisture content, thickness swelling and water absorption) and mechanical properties (internal bond strength, bending strength and modulus of elasticity) were determined on 93 Spanish-manufactured standard particleboards of different thicknesses selected randomly at the end of the production process. The testing methods of the corresponding European standards (EN) were used, except in the case of the thickness swelling and absorption tests, for which the Spanish UNE standard was used. The thickness and the values obtained for the physical properties were entered into an artificial neural network in order to predict the mechanical properties of the board. The fit was compared with the usual multivariate regression models. The use of a neural network made it possible to obtain the values of bending strength, modulus of elasticity and internal bond strength of the boards utilizing the known data, not only of thickness, moisture content and specific gravity, but also of thickness swelling and water absorption. The neural network proposed is much better adapted to the observed values than any of the multivariate regression models obtained.
International
Si
JCR
Si
Title
ISBN
Impact factor JCR
0
Impact info
Volume
17
Journal number
2
From page
178
To page
187
Month
AGOSTO
Ranking
Participants
  • Autor: Francisco Garcia Fernandez (UPM)
  • Autor: Nieves Navarro Cano (UPM)
  • Autor: Paloma de Palacios De Palacios (UPM)
  • Autor: Luis Garcia Esteban (UPM)
  • Autor: Marta Conde García (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de la Madera y el Corcho
  • Departamento: Ingeniería Forestal
  • Departamento: Construcciones Arquitectónicas y su Control
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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