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机构地区:[1]生态纺织教育部重点实验室(江南大学),江苏无锡214122
出 处:《纺织学报》2015年第8期16-21,共6页Journal of Textile Research
基 金:国家自然科学基金青年科学基金项目(61203364);高等学校博士学科点专项科研基金项目(20120093130001)
摘 要:为实现大容量纤维检测(HVI)指标在原棉品质评价中的合理应用,并为配棉提供参考,提出了一种基于主成分分析的原棉品质综合评价方法。首先选取不同产地、不同等级的284种原棉进行HVI检测,为消除指标间存在的冗余信息,选择了13项指标进行主成分分析;然后,利用提取的6项主成分因子构建原棉可纺性指数(FSI),实现了原棉品质的定量化评价;最后,讨论了FSI与成纱强力之间的相关性。研究结果表明,FSI指数越高,成纱强力越高,对应原棉的可纺性能越好。基于主成分分析的原棉评价方法能够定量评价棉纤维的可纺性能,可为原棉品质管理及成纱质量预测提供参考。In order to realize the reasonable application of high volume instrument( HVI) indexes in the cotton quality evaluation and provide the guide for the cotton assorting,a comprehensive evaluation method of raw cotton based on principal component analysis was proposed. Firstly,284 kinds of cotton from different areas and different levels were selected to subjected to the HVI detection. principal component analysis was performed on selected 13 indexes to eliminate the redundant information among the indexes. Secondly,the six extracted principal component factors were used for constructing the fiber spinnability index( FSI) to realize the quantitive evaluation of the raw cotton quality. Finally correlation on the FSI and yarn strength is discussed. The results showed that the FSI is higher,the higher yarn strength,and the better performance of the corresponding raw cotton. The comprehensive evaluation method of raw cotton based on principal component analysis achieved the quantitative evaluation of the cotton fiber spinnability,providing a reasonable reference for raw cotton quality management and yarn quality prediction.
分 类 号:TS104.1[轻工技术与工程—纺织工程]
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