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The application of near infrared spectroscopy in the quality control analysis of glass/phenolic resin prepreg

机译:近红外光谱在玻璃/酚醛树脂预浸料质量控制分析中的应用

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摘要

During the manufacture of glass/phenolic resin prepreg cloth, the feasibility of near infrared (NIR) spectroscopy as a technique for the quality control analysis of the resin content, the volatile content and the resin pre-curing degree has been verified. The partial least square (PLS) regression was used to develop the calibration models by utilizing several different spectral pretreatments. The optimum models had determination coefficients (R-2) of 98.29 for the resin content, of 99.50 for the volatile content and of 97.66 for the pre-curing degree, respectively. The root mean square errors of prediction (RMSEP) for the resin content, the volatile content and the precuring degree were 0.376%, 0.169% and 0.105%, respectively. The results of the paired t-test revealed that there was no significant difference between the NIR method and the standard method. In the manufacture process of the prepreg cloth, the NIR on-line monitoring results were used to be the instructions for the quality control.
机译:在制造玻璃/酚醛树脂预浸料坯布的过程中,已验证了近红外(NIR)光谱作为对树脂含量,挥发物含量和树脂预固化程度进行质量控制的技术的可行性。通过利用几种不同的光谱预处理,使用偏最小二乘(PLS)回归来开发校准模型。最佳模型的树脂含量的测定系数(R-2)为98.29,挥发份的测定系数(R-2)为99.50,预固化度的测定系数为(R.)97.66。树脂含量,挥发物含量和预固化度的均方根预测误差(RMSEP)分别为0.376%,0.169%和0.105%。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。在预浸料的生产过程中,NIR在线监测结果被用作质量控制的指示。

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