Nonlinear multivariate modeling of strand mechanical properties with near-infrared spectroscopy
Author(s) -
Brian K. Via,
Wei Jiang
Publication year - 2013
Publication title -
the forestry chronicle
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 49
eISSN - 1499-9315
pISSN - 0015-7546
DOI - 10.5558/tfc2013-113
Subject(s) - infrared spectroscopy , spectroscopy , infrared , bending , materials science , composite number , near infrared spectroscopy , composite material , multivariate statistics , wood plastic composite , optics , chemistry , physics , mathematics , organic chemistry , quantum mechanics , statistics
The purpose of this research was to determine if nonlinear calibrations of near-infrared spectra could improve the prediction of strand mechanical properties. Strands similar in dimension to strands utilized in an oriented strand board composite process were prepared and tested for mechanical properties in three-point bending and then calibrated to near-infrared reflectance spectroscopy. It was found that an additional 7% to 16% of the variation in mechanical properties could be accounted for when second- and third-order terms were applied. Interpretation of models identified the magnitude of importance that various wood polymers play on mechanical properties and this interpretation was validated through wet chemistry. This work is significant because it demonstrates the potential of using near-infrared spectroscopy to monitor shifts in strand mechanical properties prior to wood composite manufacture and it helps to provide the fundamental relationship between near-infrared models, wood chemistry, and the prediction of mechanical properties.
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