Application of near Infrared Spectroscopy for Estimating Wood Mechanical Properties of Small Clear and Full Length Lumber Specimens
Application of near Infrared Spectroscopy for Estimating Wood Mechanical Properties of Small Clear and Full Length Lumber Specimens
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DOI：
10.1255/jnirs.818
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发表时间：
2008-12
影响因子：
1.8
通讯作者：
Takaaki Fujimoto;Y. Kurata;Kazushige Matsumoto;S. Tsuchikawa
中科院分区：
文献类型：
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作者：
Takaaki Fujimoto;Y. Kurata;Kazushige Matsumoto;S. Tsuchikawa
采用近红外光谱技术，结合多元统计分析技术，对杂种落叶松（Larix gmelinii var.日本落叶松（Larix kaempferi）。具体的机械特性评价的弹性模量（莫伊），断裂模量（莫尔）在弯曲试验中，最大压碎强度在压缩平行于纹理（CS），动态弹性模量的风干木材（EFR），和木材密度（DEN）。偏最小二乘（PLS）回归校准开发的每一个木材性能。校准有相对较强的实验室测量和近红外光谱预测值之间的关系，在小的明确的标本，决定系数范围从0.61到0.89。校准模型应用于预测数据集和结果表明，近红外光谱具有足够的准确度（标准化预测误差=2.06-2.82）预测小清除的机械性能的潜力。基于木材径向面光谱的PLS模型（R2 = 0.73-0.89）略上级基于弦向面光谱的PLS模型（R2 = 0.61-0.84）。这可能是由于解剖结构方面的表面条件差异，因此径向面更好地代表样本。全长材试件的木材刚度预测模型也较合理，但预测精度低于小净材试件（R2 = 0.49-0.78）。从偏最小二乘模型获得的回归系数在所有力学性能中均显示出相似的趋势。纤维素中OH-基团的吸收谱带是建立木材力学性能预测模型的主要贡献者
Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch (Larix gmelinii var. japonica × Larix kaempferi). The specific mechanical characteristics evaluated were modulus of elasticity (MOE), modulus of rupture (MOR) in bending tests, maximum crushing strength in compression parallel to grain (CS), dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property. The calibrations had relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets and results suggested that NIR spectroscopy has the potential to predict mechanical properties of small clears with adequate accuracy (standardised prediction error=2.06-2.82). The PLS models based on spectra from the radial face (R2 = 0.73-0.89) of wood were slightly superior to those from the tangential face (R2 = 0.61-0.84). This might be due to the differences of the surface condition in terms of the anatomical structures and, thus, radial face better represents the sample. A reasonable predictive model for wood stiffness was also obtained from the full length lumber specimens, but the accuracy of the calibration for prediction was less than the small clear specimens (R2 = 0.49-0.78). The regression coefficients obtained from the PLS models showed similar trends in all mechanical properties. It was suggested that the absorption bands due to the OH-groups in cellulose were the major contributors to building robust models for predicting the mechanical properties of wood