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THERMAL INSULATION CHARACTERISTICS OF TEXTILE DRAPERY FABRICS.

机译:纺织品龙骨织物的绝热特性。

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摘要

The purpose of this study was to determine what fiber, fabric and constructional properties of draperies are associated with high thermal insulation values at different levels of relative humidity. Four factors associated with the drapery fabrics (fiber type, color, fabric openness and lining type) and three factors related to the drapery design (drapery fullness, lining fullness, and spatial configuration) were investigated. An eighth independent variable, relative humidity, was also included. The dependent variable was the heat flow through the drapery at a temperature differential of approximately 25(DEGREES)F.; Transmittances of drapery models representing selected levels of the eight independent variables were measured on a standard window equipped with a heat sensor device connected to a computer.; The physical properties of moisture regain, reflectance, thickness, weight, air permeability, porosity and drape of each of the fabrics were measured in order to determine relationships between these properties and the heat transmittance of the drapery.; Single thicknesses of eight drapery fabrics and two lining fabrics were tested for insulation value at two relative humidity levels, 45% and 65%. Analysis of variance showed the following factors to be significant: fiber type, weave openness and relative humidity. Color was not significant.; The four light colored drapery fabrics were tested in layered combinations with a lining fabric at the two relative humidity levels. Two levels of drapery fullness (50% and 100%), three levels of lining fullness (flat, 50% and 100%) and three levels of lining-drapery spatial separations (touching, 1/4 inch and 1/2 inch) were tested. Fabric, lining fullness, drapery fullness, spatial configuration and relative humidity were found to be significant.; Additional analysis revealed several regression models for predicting the insulation value of the draperies. Although many of the factors were found to be significant, variables were eliminated from the models in a stepwise procedure. Analysis showed that 98% of the variation in transmittance in the single layer fabrics could be predicted by relative humidity and air permeability, and that 92% of the variation in transmittance of the multiple fabric configurations could be predicted by relative humidity, air permeability and lining fullness.
机译:这项研究的目的是确定在相对湿度不同的情况下,窗帘的纤维,织物和结构特性与较高的隔热值有关。研究了与窗帘织物相关的四个因素(纤维类型,颜色,织物开放度和衬里类型)以及与窗帘设计相关的三个因素(窗帘丰满度,衬里丰满度和空间构型)。还包括第八个独立变量,相对湿度。因变量是在大约25(DEGREES)F温差下通过窗帘的热流。代表八个独立变量所选水平的窗帘模型的透光率是在装有与计算机相连的热传感器设备的标准窗户上测量的。测量每种织物的回潮率,反射率,厚度,重量,透气性,孔隙率和悬垂性的物理性质,以确定这些性质与悬垂性之间的关系。在两种相对湿度水平分别为45%和65%的情况下,测试了八块软布和两块内衬织物的单层厚度的绝缘值。方差分析显示以下因素很重要:纤维类型,编织开放度和相对湿度。颜色不明显。在两种相对湿度水平下,将四种浅色的帷幕织物与衬里织物分层组合测试。两个级别的窗帘饱满度(50%和100%),三个级别的衬里饱满度(平坦,50%和100%)和三个级别的衬里-窗帘空间间隔(触摸,1/4英寸和1/2英寸)为经过测试。发现织物,衬里的丰满度,帷幔的丰满度,空间构型和相对湿度是显着的。进一步的分析揭示了几种用于预测窗帘的隔热值的回归模型。尽管发现许多因素都很重要,但是通过逐步过程从模型中消除了变量。分析表明,单层织物的透射率变化的98%可以通过相对湿度和透气率来预测,而多层织物结构的透射率的92%可以通过相对湿度,透气率和衬里来预测丰满。

著录项

  • 作者

    EPPS, HELEN HEINS.;

  • 作者单位

    The University of Tennessee.;

  • 授予单位 The University of Tennessee.;
  • 学科 Textile Technology.
  • 学位 Ph.D.
  • 年度 1981
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 轻工业、手工业;
  • 关键词

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