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首页> 外文期刊>The Journal of the Textile Institute. 1, Fibre Science and Textile Technology >Prediction of surface uniformity in woven fabrics through 2-D anisotropy measures, Part Ⅱ: Simulation and verification of the prediction model
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Prediction of surface uniformity in woven fabrics through 2-D anisotropy measures, Part Ⅱ: Simulation and verification of the prediction model

机译：通过二维各向异性测量预测织物表面均匀性，第二部分：预测模型的仿真与验证

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摘要

Yarn diameter profiles were captured from an online measurement system and then translated into a two-dimensional (2-D) fabric matrix by assigning each point of the yarn to a specific location within a virtual fabric. A method to quantify the anisotropy in fabric nonuniformity was developed by combining the gray-scale image of the 2-D fabric matrix with the newly defined between-area variance curves. The 2-D anisotropy measures thus obtained were found to be highly useful for characterizing certain appearance features of woven fabrics such as vertical or horizontal streaks and random cloudiness. Methods for selecting different shapes of the unit area facilitated comparison of the resulting between-area variance curves, and thus a measure of isotropy in the nonuniformity features of the woven fabrics.
机译：从在线测量系统捕获纱线直径轮廓，然后通过将纱线的每个点分配给虚拟织物内的特定位置，将其转​​换为二维（2-D）织物矩阵。通过将二维织物矩阵的灰度图像与新定义的区域间方差曲线相结合，开发了一种量化织物不均匀性各向异性的方法。发现由此获得的2-D各向异性测量对于表征织物的某些外观特征如垂直或水平条纹和无规混浊非常有用。用于选择单位面积的不同形状的方法有助于比较所得的区域间方差曲线，从而便于测量织物的非均匀性特征的各向同性。

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