非接触式可见光-近红外光谱法快速预测天然高分子材料表面粗糙度的研究

利用触针式轮廓法测量了天然高分子材料木材的表面粗糙度，并对可见光-近红外光谱与实测表面粗糙度参数之间的相关性进行研究，探讨了非接触式光谱法快速预测天然高分子材料表面粗糙度的可行性。结果表明：（1）样品三个切面的可见光-近红外光谱（400～2 500 nm）均可预测样品表面粗糙度，实测值与预测值相关系数可达0.92，其中利用样品横切面光谱所建的模型效果最好;（2）在分段光谱400～780 nm，780～1 100 nm，1 100～2 500 nm，780～2 500 nm，400～2 500 nm范围内，所建模型表面粗糙度参数的实测值与预测值相关系数可达0.80以上，显著相关，其中400～2 500 nm区域所建模型效果最好;（3）光谱预处理并不能提高模型预测效果，建议利用可见光-近红外光谱预测天然高分子材料表面粗糙度时采用原始光谱数据。

Rapid Prediction of Surface Roughness of Natural Polymer Material by Visible/Near Infrared Spectroscopy as a Non-Contact Measurement Method

In order to investigate the feasibility of visible/Near Infrared(Vis-NIR)spectroscopy to predict the surface roughness of natural polymer material(wood) as a non-contact measurement method,the correlations between Vis-NIR spectroscopy and surface roughness measured by contact(stylus) instruments from three different sections of wood samples were analyzed. The results showed that the surface roughness parameters, arithmetical mean deviation of profile (Ra), ten-point height of irregularities (Rz) and the maximum height of profile (Ry), of wood samples were successfully predicted by using Vis-NIR (400~2 500 nm) models from the three sections of the samples. The correlations between values measured by the stylus instruments and the values predicted by the models were good. The correlation coefficients of Rz reached up to 0.92. Compared to the models based on the Vis-NIR from the radial section and tangential section of the samples, the predictive effect of the model based on cross section was the best. The correlation coefficients between the values measured by the stylus instruments and the values predicted by the models based on different spectrum wavelength range, 400~780, 780~1 100, 1 100~2 500, 780~2 500 and 400~2 500 nm, were generally above 0.80. The prediction results of the model based on spectrum wavelength range 400~2 500 nm was better than the models based on the other spectrum wavelength ranges. The results showed that the predictive effect was not improved by pretreatment of the spectrum. It is proposed to use the original spectrum to predict the surface roughness of natural polymer material.