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Wood Research and Technology


Cellulose – Hemicelluloses – Lignin – Wood Extractives

Editor-in-Chief: Salmén, Lennart

Editorial Board: Daniel, Geoffrey / Militz, Holger / Rosenau, Thomas / Sixta, Herbert / Vuorinen, Tapani / Argyropoulos, Dimitris S. / Balakshin, Yu / Barnett, J. R. / Burgert, Ingo / Rio, Jose C. / Evans, Robert / Evtuguin, Dmitry V. / Frazier, Charles E. / Fukushima, Kazuhiko / Gindl-Altmutter, Wolfgang / Glasser, W. G. / Holmbom, Bjarne / Isogai, Akira / Kadla, John F. / Koch, Gerald / Lachenal, Dominique / Laine, Christiane / Mansfield, Shawn D. / Morrell, J.J. / Niemz, Peter / Potthast, Antje / Ragauskas, Arthur J. / Ralph, John / Rice, Robert W. / Salin, Jarl-Gunnar / Schmitt, Uwe / Schultz, Tor P. / Sipilä, Jussi / Takano, Toshiyuki / Tamminen, Tarja / Theliander, Hans / Welling, Johannes / Willför, Stefan / Yoshihara, Hiroshi

IMPACT FACTOR 2017: 2.079

CiteScore 2017: 1.94

SCImago Journal Rank (SJR) 2017: 0.709
Source Normalized Impact per Paper (SNIP) 2017: 0.979

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Volume 64, Issue 4


Predicting the longitudinal modulus of elasticity of Sitka spruce from cellulose orientation and abundance

J. Paul McLean / Robert Evans / John R. Moore
Published Online: 2010-05-04 | DOI: https://doi.org/10.1515/hf.2010.084


Sitka spruce (Picea sitchensis) is the most widely planted commercial tree species in the United Kingdom and Ireland. Because of the increasing use of this species for construction, the ability to predict wood stiffness is becoming more important. In this paper, a number of models are developed using data on cellulose abundance and orientation obtained from the SilviScan-3 system to predict the longitudinal modulus of elasticity (MOE) of small defect-free specimens. Longitudinal MOE was obtained from both bending tests and a sonic resonance technique. Overall, stronger relationships were found between the various measures of cellulose abundance and orientation and the dynamic MOE obtained from the sonic resonance measurements, rather than with the static MOE obtained from bending tests. There was only a moderate relationship between wood bulk density and dynamic MOE (R2=0.423), but this relationship was improved when density was divided by microfibril angle (R2=0.760). The best model for predicting both static and dynamic MOE involved the product of bulk density and the coefficient of variation in the azimuthal intensity profile (R2=0.725 and 0.862, respectively). The model parameters obtained for Sitka spruce differed from those obtained in earlier studies on Pinus radiata and Eucalyptus delegatensis, indicating that the model might require recalibration before it can be applied to different species.

Keywords: microfibril angle (MFA); SilviScan; Sitka spruce; wood stiffness; X-ray diffraction

About the article

Corresponding author. Present address: Equipe Mecanique de l'arbre et du bois, Laboratoire de Mécanique et Génie Civil, Université Montpellier II, Campus St Priest, 34090 Montpellier, France Phone: +33-4-6714-9344 Fax: +33-4-6714-4792

Received: 2009-09-30

Accepted: 2010-01-29

Published Online: 2010-05-04

Published Online: 2010-05-04

Published in Print: 2010-06-01

Citation Information: Holzforschung, Volume 64, Issue 4, Pages 495–500, ISSN (Online) 1437-434X, ISSN (Print) 0018-3830, DOI: https://doi.org/10.1515/hf.2010.084.

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