Buscar

 

RI UFLA (Universidade Federal de Lavras) >
DCF - Departamento de Ciências Florestais >
DCF - Artigos publicados em periódicos >

Por favor, utilize esse identificador para citar este item ou usar como link: http://repositorio.ufla.br/jspui/handle/1/12054

Título: Estimation of physical and mechanical properties of agro-based particleboards by near infrared spectroscopy
Autor(es): Hein, Paulo Ricardo Gherardi
Campos, Ana Carolina Maioli
Mendes, Rafael Farinassi
Mendes, Lourival Marin
Chaix, Gilles
Publicador: Springer Verlag
Data de publicação: Ago-2011
Referência: HEIN, P. R. G. et al. Estimation of physical and mechanical properties of agro-based particleboards by near infrared spectroscopy. European Journal of Wood and Wood Products, Berlin, v. 69, n. 3, p. 431-442, Aug. 2011.
Abstract: Partial least square regression (PLS-R) calibrations based on near infrared (NIR) spectroscopic data were developed in order to predict mechanical and physical properties of agro-based particleboards. The panels were manufactured using Eucalyptus and Pinus wood particles and sugar cane bagasse. The following panel properties were evaluated according to standard methods: modulus of elasticity (MOE), modulus of rupture (MOR), internal bonding (IB) strength, water absorption (WA24H), and thickness swelling (TS24H) after 24 hours of immersion. NIR spectra information was measured on samples cut from each particleboard and correlated with their physical and mechanical properties by PLS-R to build predictive NIR models. The NIR models for IB, WA24H and TS24H presented satisfactory coefficient of determination (0.73; 0.72 and 0.75, respectively.) The key role of resins (adhesives), cellulose, and lignin for NIRS calibrations of mechanical and physical properties of the particleboards is shown. These models can be useful to quickly verify such properties in unknown agro-based particleboards.
URI: http://link.springer.com/article/10.1007/s00107-010-0471-5
http://repositorio.ufla.br/jspui/handle/1/12054
Idioma: en_US
Aparece nas coleções: DCF - Artigos publicados em periódicos

Arquivos neste Item:

Não há arquivos associados para este Item.

Itens protegidos por copyright, com todos os direitos reservados, Salvo indicação em contrário.


Mostrar estatísticas

 


DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Feedback