首页> 外文期刊>Journal of testing and evaluation >Non-contact and Non-destructive Analysis of the Quality of Phenolic Resin by Near-Infrared Spectroscopy
【24h】

Non-contact and Non-destructive Analysis of the Quality of Phenolic Resin by Near-Infrared Spectroscopy

机译:用近红外光谱法对酚醛树脂质量进行非接触式和非破坏性分析

获取原文
获取原文并翻译 | 示例
           

摘要

The traditional analytical methods used to determine phenolic resin are slow and produce environmentally unfriendly waste. In this work, near-infrared (NIR) spectroscopy has been applied for resin content of phenolic resins. The partial least-squares regression was used to develop the calibration model of the resin content. Eight samples were withdrawn at different time stages for analysis with the proposed quantitative models; the data thus obtained were compared with those provided by reference methods. The maximal predicted error and the standard deviation of the differences were 0.96% and 0.51% for resin content. The results of the paired t test revealed that there was no significant difference between the NIR method and the reference method. NIR spectroscopy is an effective choice for the accurate, expeditious analyzing quality of phenolic resin.
机译:用于确定酚醛树脂的传统分析方法反应缓慢,并且会产生对环境不利的废物。在这项工作中,近红外(NIR)光谱已应用于酚醛树脂的树脂含量。使用偏最小二乘回归建立树脂含量的校准模型。在不同的时间阶段抽取了八个样本,以使用建议的定量模型进行分析;将由此获得的数据与参考方法提供的数据进行比较。树脂含量的最大预测误差和差异的标准偏差分别为0.96%和0.51%。配对t检验的结果表明,NIR方法与参考方法之间没有显着差异。近红外光谱法是准确,快速分析酚醛树脂质量的有效选择。

著录项

  • 来源
    《Journal of testing and evaluation》 |2012年第2期|p.302-304|共3页
  • 作者

    Y. Dong; S. Y. Qu;

  • 作者单位

    School of Management, Harbin Institute of Technology, Harbin 150001,People's Republic of China and Financial Office of Heilongjiang Province, P.O. Box 410, Harbin 150001, People's Republic of China;

    School of Management, Harbin Institute of Technology, Harbin 150001,People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    NIR spectroscopy; partial least-squares regression; phenolic resin;

    机译:近红外光谱偏最小二乘回归;酚醛树脂;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号