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Memorias de investigación
Ponencias en congresos:
Predicting particleboard modulus of rupture through artificial neural networks using production parameters
Año:2017
Áreas de investigación
  • Investigación forestal,
  • Ingenierías,
  • Ingeniería de construcción
Datos
Descripción
One of the most important properties of particleboard for its structural use is modulus of rupture (MOR). However, the test for this property lacks the immediacy necessary for real-time application to production line control. To reduce the delay in obtaining results, which affects the entire industry, it would be beneficial to have modelling tools to enable determination of mechanical properties using parameters taken directly from the production line. In relation to this, the use of artificial neural networks (ANN) has grown in recent years in various fields of science and technology. The nature of ANNs as universal function approximators makes them powerful modelling tools, particularly when it is important to obtain a high degree of reliability rather than determining the relations between the variables involved. These mathematical models have been successfully applied to obtain the mechanical properties of wood-based products using more easily-measured properties or manufacturing parameters. In this study, an ANN was developed to model particleboard MOR using manufacturing parameters, obtaining sufficient reliability for application in the factory.
Internacional
Si
Nombre congreso
CompWood 2017
Tipo de participación
960
Lugar del congreso
Viena
Revisores
Si
ISBN o ISSN
978-3-903024-49-6
DOI
Fecha inicio congreso
07/06/2017
Fecha fin congreso
09/06/2017
Desde la página
33
Hasta la página
33
Título de las actas
Computational methods in Wood mechanics for material properties to timber structures
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Francisco Garcia Fernandez (UPM)
  • Autor: Paloma de Palacios De Palacios (UPM)
  • Autor: Alberto García Iruela (UPM)
  • Autor: Luis Garcia Esteban (UPM)
  • Autor: Beatriz Gonzalez Rodrigo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnología de la Madera y el Corcho
  • Departamento: Ingeniería Civil: Construcción, Infraestructura y Transporte
  • Departamento: Sistemas y Recursos Naturales
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