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Erschienen in: Wood Science and Technology 4/2014

01.07.2014 | Original

Can the impulse propagation speed from cross-section tomography explain the conditioned density of wood?

verfasst von: Luciana Cavalcante Pereira-Rollo, Demóstenes Ferreira da Silva Filho, Mario Tomazello Filho, Sergio de Oliveira Moraes, Hilton Thadeu Zarate do Couto

Erschienen in: Wood Science and Technology | Ausgabe 4/2014

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Abstract

Tomography is a wave-based technique used to depicture tree cross-sections; specifically, impulse tomography uses data given by the passage of impulse waves, which were primarily influenced by density, modulus of elasticity, and moisture content of wood. The influence of wood characteristics on various kinds of waves has been extensively studied, allowing the establishment of statistical correlations between wave behavior and wood properties. In this context, the relationship between impulse speed from cross-section tomography and conditioned density that was obtained on diametrical sample by X-ray densitometry was analyzed using logs of three tree species with different densities that were air dried to 12 % moisture content. For each species, means from 5 mm length intervals of conditioned density profile graph (ρ 12%) and impulse speed distribution graph (S 12%) on the same diametrical sample are used to fit models. Joining data from all species, the exponential model \( \ln \rho_{12\% } = - 4.32822 + 1.67894 *\ln S_{12\% } \) was obtained with correlation coefficient of 0.85 and highly significant parameters. The results indicate that conditioned density could be explained by impulse speed on the cross-section, but research is necessary to make a useful tool out of it.

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Metadaten
Titel
Can the impulse propagation speed from cross-section tomography explain the conditioned density of wood?
verfasst von
Luciana Cavalcante Pereira-Rollo
Demóstenes Ferreira da Silva Filho
Mario Tomazello Filho
Sergio de Oliveira Moraes
Hilton Thadeu Zarate do Couto
Publikationsdatum
01.07.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Wood Science and Technology / Ausgabe 4/2014
Print ISSN: 0043-7719
Elektronische ISSN: 1432-5225
DOI
https://doi.org/10.1007/s00226-014-0634-3

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