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首页> 外文期刊>Vlakna a Textil >IMAGE ANALYSIS FOR CHARACTERIZING TENSILE DEFORMATION OF KNITTED FABRIC
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IMAGE ANALYSIS FOR CHARACTERIZING TENSILE DEFORMATION OF KNITTED FABRIC

机译：表征针织物拉伸变形的图像分析

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摘要

Elastic fabrics are considered to be of high importance to produce garments with comfortable fitting to the human body. However, the compression resulting from the tight-fitting of such clothing tends to generate high-pressure and discomfort while wearing them. In order to design comfortable knitted garments, it is necessary to predict their distribution of elastic behavior across different body sizes. The standard tensile testing methods are not sufficient to explain distribution of these elastic properties. When digital image analysis technique is adjusted to the standard tensile test method, more detailed study and additional results can be obtained. This work presented the digital image analysis method for the measurement of local deformations of knitted fabrics during tensile testing. The distributions of elastic properties of fabric under different levels of stretching were determined. The image analysis approach was selected to calculate the gradient deformation tensor under the extension ranging from 10 to 40% in respective course, wale and bias directions. The gradient deformation tensors were obtained by analysis of movements of dots painted on the specimen. In this way, the outcome of this work will help to construct knitted fabric structures with appropriate pressure distribution for comfortable body fitting.
机译：弹性织物被认为对于生产舒适地贴合人体的服装非常重要。但是，由于这样的衣服的紧身而产生的压迫倾向于在穿着它们时产生高压和不适感。为了设计舒适的针织服装，必须预测它们在不同体型上的弹性行为分布。标准的拉伸试验方法不足以解释这些弹性性能的分布。将数字图像分析技术调整为标准拉伸试验方法后，可以获得更详细的研究结果和更多结果。这项工作提出了一种数字图像分析方法，用于测量拉伸试验过程中针织物的局部变形。确定了织物在不同拉伸水平下的弹性性能分布。选择了图像分析方法来计算在相应的航向，纵行和偏置方向上延伸范围为10％至40％的情况下的梯度变形张量。梯度变形张量是通过分析标本上点的运动来获得的。这样，这项工作的结果将有助于构建具有适当压力分布的针织物结构，以使身体舒适。

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