利用近红外光谱技术预测粗皮桉木材弹性模量

采用近红外光谱分析技术,对粗皮桉木材弹性模量进行了快速预测研究.使用快速傅里叶变换(FFT)分析法和常规力学测试方法测定了粗皮桉木材无疵小试样的弹性模量,并用近红外光谱仪采集试样径切面和弦切面的近红外漫反射光谱,对原始光谱进行二阶导数预处理,并选择410～2 480 nm光谱段建立回归模型.以2/3的试样作为校正集建立弹性模量的偏最小二乘法校正模型,以1/3/的试样作为预测集对模型进行验证.结果表明,粗皮桉木材的弹性模量与近红外光谱之间有较好的相关性,纵向弹性模量和抗弯弹性模量的预测模型的相关系数分别为0.93和0.81,相对分析误差分别为2.70和1.71.利用近红外光谱分析方法可以实现对粗皮桉木材无疵小试样弹性模量的快速预测.

Estimation of Modulus of Elasticity of Eucalyptus Pellita Wood by Near In frared Spectroscopy

In the present study， the rapid prediction of wood modulus of elasticity (MOE) of Eucalyptus pellita by near infrared (NIR) spectroscopy is described. Fast Fourier transform (FFT) and conventional mechanical testing methods were used to measure modulus of elasticity of small clear wood samples of Eucalyptus pellita. After collecting the near-infrared reflectance spectra of each sample from radial and tangential faces， the NIR spectra were preprocessed with the second-derivative methods, and regression models were built between 410 to 2 480 nm. The calibration models were established using two thirds of whole samples with the partial least squares method, and validation models were developed on an independent set (one third of whole samples). The analysis results showed that high correlation coefficients were obtained between the laboratory-determined MOE values and NIR prediction values of Eucalyptus pellita. The correlation coefficients of prediction model for MOE were 0.93 and 0.81， and RPD were 2.70 and 1.71. NIR analysis technique can realize the rapid prediction of the MOE of small clear wood samples of Eucalyptus pellita.