It has previously been shown that NIR spectrometry gives good correlations to key indicators of strength as for example density and chemical composition (for example lignin, cellulose content). A NIR camera is a technology that provides spatially resolution NIR data and also information about macroscopic phenomena such as twig position and size. High-resolution two- and three-dimensional data from a combination of sensors, RGB, NIR, CT from selected samples which are then heavily loaded to breakage should be analyzed and modeled using multivariate image regression (MIR) to develop improved models for predicting the strength of spruce.
Funding: TräCentrum Norr, SCA, Norrskogs forskningsstiftelse, Södras forskningsstiftelse
Project participants: Olle Hagman LTU, Gerhard Scheepers, SP, Jörgen Olsson, SP, Sven-Olof Lundqvist, Innventia. Thomas Grahn, Innventia, Oskar Jonsson, Umbio AB.
Contact: Olle Hagman
1. P. Hoffmeyer, J.G. Pedersen. Evaluation of density and strength of Norway spruce wood near infrared reflectance spectroscopy. Holz als Roh- und Werkstoff 53 (1995) 165-170.
2. Stephen S. Kelley, Timothy G. Rials, Rebecca Snell, Leslie H. Groom, Amie Sluiter. Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood. Wood Sci Technol (2004) 38: 257–276.
3. Stephen S. Kelley, Timothy G. Rials, Leslie R. Groom and Chi-Leung So. Use of near infrared spectroscopy to predict the mechanical properties of six softwoods. Holzforschung, Vol. 58, pp. 252–260, 2004.
4. Jakub Sandak, Anna Sandak, Dusan Pauliny, Victoria Krasnoshlyk, Olle Hagman. Near infrared spectroscopy as a tool for estimation of mechanical stresses in wood. Advanced Materials Research Vol. 778 (2013) pp 448-453.