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NIR analysis of textile natural raw material

织物 样品(材料) 工艺工程 计算机科学 生化工程 润滑油 原材料 过程(计算) 范围(计算机科学) 化学计量学 羊毛 纺织工业 制浆造纸工业 材料科学 人工智能 模式识别(心理学) 工程类 复合材料 化学 机器学习 色谱法 有机化学 程序设计语言 操作系统 考古 历史
作者
Ying Zhou,Huirong Xu,Yibin Ying
标识
摘要

NIR technology has gained more and more attention of researchers because of its advantage of simplicity, quickness and non destructive property of detection. And combined with chemometrics method, it could remedy some disadvantages such as overlapping of peaks and feebleness of information. Now, NIR has been applied in many fields such as medicine and chemical industry. Textile is an important part in human life. With the development of society, people pay more attention to this field. Using microscope to discriminate textile fibre by man and using solution method to detect content of fibre are two main detection methods in textile national standards. These methods of discrimination demand a lot of training and practical experience. At the same time, many artificial factors in the process may result in different examination results of the same sample. In addition, they are time-consuming (6 hours on average) and not suitable for large quantity of sample detection. Therefore, doubtless finding another more quickly and nondestructive way to complete detection of textile fibre makes great sense. Compared with microscope method and chemical method, NIR technical could decrease test time down to about 30 seconds. Because the structure of natural fibre is more complex than artificial fibre, NIR application in this field is much more difficult and demands more experience. So many researches were done by experts domestically and abroad in this field. The scope of these researches includes differentiation of foreign substance in natural fibre such as wool, cotton, and silk; prediction of natural fibre content such as residual grease content, mean fibre diameter (MFD) and moisture content. The present paper focuses mainly on the application of NIR in the textile industry, especially the analysis of textile natural raw material, including discrimination of natural fibre variety and detection of foreign fibre.

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