时间、温度和压力对毛/涤混纺纤维皱褶的影响

B. Katz
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引用次数: 0

摘要

对天然/合成混合材料对时间、温度和压力变化的响应进行了研究,以引起变形。这种材料很有趣,因为它的响应复杂性取决于每根纤维的性质。该研究的样品是羊毛/聚酯混纺,成分分别为45/55。这种组合是一种常见的材料,并且抗变形。定量系统方法的应用提供了条件组合之间的实质性相关性,而这种相关性在更常见的定性方法中是不明显的。严格遵守定量方法使本调查比现有的研究文献更翔实。压力和温度范围对应于与服装印刷机相关的值。通过检查形成的折痕和关联相应的折痕值来评估变形。对折痕值和参数的分析建立了条件与所得折痕值之间的明确相关性。该案例研究表明,时间和温度是材料折痕的关键因素,压力在决定最大可能变形方面的影响略小。确定了一个回归模型来预测作为这些参数的函数的结果“折痕角”,代表结果方差的87%。该实验方法可推广应用于交替织物,以适应相应的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of Time, Temperature and Pressure on the Creasing of Wool/Polyester Blended Fibers
: Studies investigating the response of a natural/synthetic blended material to variations of time, temperature and pressure with respect to induced deformations have been carried out. Such a material is interesting due to its complexity of responses which are dependent on the nature of each fiber. The study’s sample was a wool/polyester blend with a 45/55 composition respectively. This combination is a common material and is resistant to deformations. The application of a quantitative systematic approach provides substantial correlation between combinations of conditions that would not be evident in a more common qualitative approach. Strict adherence to a quantitative method makes this investigation more informative than existing research literature. Pressure and temperature ranges corresponded to values associated with clothing presses. The deformations were evaluated by examining the crease formed and associating a corresponding crease value. Analysis of the crease values and parameters established a clear correlation between the conditions and the resulting crease values. This case study shows that time and temperature are key factors in the creasing of materials, with pressure slight less influential in determining the maximum deformation possible. A regression model was determined to predict the resulting “crease angle” as a function of these parameters, representing 87% of the variance of the results. This experimental methodology can be generalized and applied to alternate fabrics to adapt the corresponding model.
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