节点文献

基于灰色关联模型的针织物热湿舒适性分析与预测

Analysis and prediction of thermal and moisture comfort of knitted fabrics based on grey correlation model

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 王丽莎马晓红孟花冯爱芬

【Author】 WANG Lisha;MA Xiaohong;MENG Hua;FENG Aifen;College of Textile and Garments, Hebei University of Science and Technology;Hebei Textile and Garment Technology Innovation Center;

【通讯作者】 马晓红;

【机构】 河北科技大学纺织服装学院河北省纺织服装技术创新中心

【摘要】 为了实现对针织物热湿舒适性能的预测,对7种针织物进行物理性能测试,对影响针织物热湿舒适性的因素进行了灰色关联度分析,得出对热湿舒适性影响显著的针织物性能指标主要为瞬间冷暖感、导热系数、透湿量、厚度;在此基础上,运用灰色预测方法建立了针织物热湿舒适性与针织物测试性能指标之间的灰色关联模型,从而在得知针织物的瞬间冷暖感、导热系数、透湿量、厚度的情况下实现对针织物热湿舒适性的预测分析。

【Abstract】 In order to realize the prediction of thermal and moisture comfort properties of knitted fabrics, the physical properties of seven kinds of knitted fabrics were tested. The gray correlation analysis was carried out on the factors affecting the thermal and moisture comfort of the knitted fabric. The performance indexes of the fabrics with significant influence on the thermal and moisture comfort were mainly the instant warmth and thermal conductivity, moisture permeability and thickness. On the basis of this, the grey correlation model between knitted fabric thermal comfort and knitted fabric test performance index was established by using grey prediction method, therefore, when the instant warmth, thermal conductivity, moisture permeability and thickness of the knitted fabric are known, a predictive analysis of the thermal and moisture comfort of the knitted fabric is realized.

【基金】 河北省重点研发计划项目(18211231D)
  • 【文献出处】 毛纺科技 ,Wool Textile Journal , 编辑部邮箱 ,2020年05期
  • 【分类号】TS186.3
  • 【被引频次】10
  • 【下载频次】332
节点文献中: 

本文链接的文献网络图示:

本文的引文网络