摘要
以再生纤维素纤维/氨纶针织面料为研究对象进行近红外光谱分析,研究结果表明不同种类的再生纤维素纤维/氨纶针织面料近红外光谱图相似,可建立统一的预测模型对其成分含量进行定量分析;以莫代尔/氨纶、莱赛尔/氨纶、(粘纤+莫代尔)/氨纶、(粘纤+莱赛尔)/氨纶针织面料为样本建立的近红外光谱测试模型性能良好,50个复测样品模型预测值与标准值之间偏差大多都在0.6%以内,预测结果符合标准偏差要求。
this study aims at the fabrics knitted by regenerated cellulose fibers / polyurethane fibers. The research shows that the near-infrared spectrums of each fabric knitted by different regenerated cellulose fibers / polyurethane fibers are almost the same. An uniform predicting model can be raised to analyze the ingredients of each fabric. The predicting model of near-infrared ~p^ctrum based on the samples of fabrics knitted by Modal / polyurethane fibers, Lyocell / polyurethane fibers, Viscose fibers and Modal / polyurethane fibers, Viscose fibers and Lyocell / polyurethane fibers works well. Deviations between standard values and predicted values of the 50 samples are less than 0.6 percent. Forecast results meet the requirements of the standard deviation.
出处
《武汉纺织大学学报》
2014年第6期6-10,共5页
Journal of Wuhan Textile University
基金
广东省质量技术监督局科技项目(2013CZ02)
关键词
再生纤维素纤维
氨纶
近红外光谱
预测模型
Regenerated Cellulose Fibers
Polyurethane Fibers
Near-infrared Spectrum
Predicting Model
