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首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Near Infrared Spectroscopy for On-line Monitoring of Alkali- Free Cloth/Phenolic Resin Prepreg During Manufacture
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Near Infrared Spectroscopy for On-line Monitoring of Alkali- Free Cloth/Phenolic Resin Prepreg During Manufacture

机译：近红外光谱法在线监测生产过程中的无碱布/酚醛树脂预浸料

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摘要

A NIR method was developed for the on-line monitoring of alkali-free cloth/phenolic resin prepreg during its manufacturing process. First, the sizing content of the alkali-free cloth was analyzed, and then the resin, soluble resin and volatiles content of the prepreg was analyzed simultaneously using the FT-NIR spectrometer. Partial least square (PLS) regression was used to develop the calibration models, which for the sizing content was preprocessed by 1stDER +MSC, for the volatile content by 1stDER +VN, for the soluble resin content by 1stDER +MSC and for the resin content by the VN spectral data preprocessing method. RMSEP of the prediction model for the sizing content was 0.732 %, for the resin content it was 0.605, for the soluble resin content it was 0.101 and for volatiles content it was 0.127. The results of the paired t-test revealed that there was no significant difference between the NIR method and the standard method. The NIR spectroscopy method could be used to predict the resin, soluble resin and the volatiles content of the prepreg simultaneously, as well as sizing content of alkali-free cloth. The processing parameters of the prepreg during manufacture could be adjusted quickly with the help of the NIR analysis results. The results indicated that the NIR spectroscopy method was sufficiently accurate and effective for the on-line monitoring of alkali-free cloth/phenolic resin prepreg.
机译：开发了一种NIR方法，用于在生产过程中对无碱布/酚醛树脂预浸料进行在线监测。首先，分析无碱布的上浆含量，然后使用FT-NIR光谱仪同时分析预浸料的树脂，可溶性树脂和挥发物含量。使用偏最小二乘（PLS）回归建立校正模型，该校正模型针对上浆含量由1stDER + MSC进行预处理，挥发性成分由1stDER + VN进行处理，可溶性树脂含量由1stDER + MSC进行处理以及树脂含量通过VN光谱数据预处理方法。上浆量预测模型的RMSEP为0.732％，树脂含量为0.605，可溶性树脂含量为0.101，挥发物含量为0.127。配对t检验的结果表明，NIR方法与标准方法之间没有显着差异。 NIR光谱法可用于同时预测预浸料的树脂，可溶性树脂和挥发物含量，以及无碱布的上浆含量。借助NIR分析结果可以快速调整制造过程中预浸料的加工参数。结果表明，NIR光谱法对于无碱布/酚醛树脂预浸料的在线监测是足够准确和有效的。

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