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首页> 外文期刊>Iranian polymer journal >Non-destructive and Rapid Analysis of Resin and Volatile Contents in Carbon Fibre/Epoxy Resin Prepreg Cloth by Near-infrared Spectroscopy
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Non-destructive and Rapid Analysis of Resin and Volatile Contents in Carbon Fibre/Epoxy Resin Prepreg Cloth by Near-infrared Spectroscopy

机译:碳纤维/环氧树脂预浸料布中树脂和挥发性成分的近红外光谱无损快速分析

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摘要

Near-infrared (NIR) spectroscopy has been applied for qualitative analysis of carbon fibre/epoxy resin prepreg cloth. A partial least square (PLS) calibration model for the prediction of the resin content and volatile content was developed using 104 samples for calibration and 30 samples for prediction, respectively. The calibration model for the resin content was obtained by using no spectral data preprocessing (R~2= 93.52, RMSEC= 0.60), and the volatile content was obtained by second derivation (R~2= 94.57, RMSEC= 0.129). RMSEP of the prediction model for the resin content is 0.81% and for volatile content is 0.237%. Sixteen samples were collected randomly and analyzed by chemical and NIR methods. 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 can be used to predict the resin content and the volatile content simultaneously. Besides, the prepreg could be analyzed one time within 30 s without sample destruction. The study indicates that the NIR analysis is sufficiently accurate and effective for quality analysis in carbon fibre/epoxy resin prepreg cloth.
机译:近红外(NIR)光谱已用于碳纤维/环氧树脂预浸料的定性分析。分别使用104个样本进行校准和30个样本进行预测,开发了用于预测树脂含量和挥发物含量的偏最小二乘(PLS)校准模型。通过不使用光谱数据预处理获得树脂含量的校准模型(R〜2 = 93.52,RMSEC = 0.60),并通过二次推导获得挥发物含量(R〜2 = 94.57,RMSEC = 0.129)。树脂含量的预测模型的RMSEP为0.81%,挥发物含量的预测模型的RMSEP为0.237%。随机收集16个样品,并通过化学和近红外分析方法进行分析。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树脂含量和挥发物含量。此外,预浸料可以在30 s内分析一次,而不会破坏样品。研究表明,NIR分析对于碳纤维/环氧树脂预浸料坯布的质量分析足够准确和有效。

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