• Fashion & Textile Research Journal
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• v.1 no.3
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• pp.252-258
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• 1999

The aims of this study is to classify the lower somatotype of adult women and appearance analysis on the shape of flare skirts by using the image processing. Also We have made skirts in order to analyze the various types of appearance of flare skirts by using the image processing. The subjects for our wear test lower somatotype, who were controlled in their waist, abdomen and hip shapes. The flare skirts used for wear test were 112 types(combinated 14 fabric type and 8 lower somatotype). The effect of lower somatotype on the shape of flare skirts was determined by the horizontally hem line section shape and the silhouette of flare skirts with image processing. The data were analyzed by using analysis of variance and Turkey, Duncan multiple range test. The results obtained are summarized as follows: It is shown that the fabric weight elongation differs in fabrics properties, in direction of textures. The shape horizontal section of flare skirt hem line has differed with the number of nodes, wave-height of nodes and breadth of silhouette by fabrics properties and lower somatotype. It is noticed that the breadth of flare skirts by the silhouette has high correlation with the drape ability of fabrics and lower somatotype. Results for our flare skirts show changes in amplitude and mean with fabrics, somatotype. Therefore we can say that gray-level histograms are correlated with changes in appearance, differences in drape spacing and related fabric properties and their somatotype.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.3
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• pp.519-526
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• 1996

To investigate the relationship between plane and side drape coefficient, the drape tester designed in which coordinate of projected outline of draped specimen could be recorded. By using this drape tester, the three dimensional shape, plane and side drape coefficient were obtained from coordinate of plane projected shape, and furthermore examined the tendency in changes of drape coefficient in terms of diameter of specimen, deflection angle, and bending rigidity. The side drape coefficients were constant regardless of changes in diameter of specimen. The plane drape coefficients, however, made a little difference according to changes in diameter of specimen. The experimental drape coefficient agreed well with the theoretical drape coefficient according to deflection angle. In the meanwhile, when the plane drape coefficients were regressed with the side drape coefficents, regression equation was $y=0.375x-0.002x^2+6.9\times10^{-5}x^3$. When the $\overline{\theta_s}$ is mean of deflection angle of selected points which have the longest and shortest distance from center point in the node, the theoretical drape coefficient calculated from $\overline{\theta_s}$ has high correlation with experimental drape coefficient. The plane and side drape coefficient changed linearly with increasing the bending length, $\sqrt[3]{EI/w}$.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.1
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• pp.111-121
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• 2012

This study focused on the plane and side drape coefficients of weft knitted fabrics as a function of knit structure, stitch density, and stiffness. Fifteen weft knitted fabrics are produced with five different structures (interlock, single pique, royal interlock, cross miss interlock, and mock royal interlock) and three different gauges (7G, 10G, and 12G). Five knit structures were the application of knit, tuck, and miss stitch on the basis of interlock of the double knit fabric For this purpose, three-dimensional shapes of the draped sample were obtained by using a drapability tester which can record the contour line coordinates of a projected plane drape. Then, projected shapes of the plane and side drape were derived from those three-dimensional ones to review the relationship between plane drape coefficients and side ones. It was found that the theoretical values of plane and side drape coefficients depending on the change of deflection angles fit to their experimental ones. A5 a result of a regression analysis of the relationship between plane and side drape coefficients, the relationship could be expressed as $y=0.5838x-0.0065x^2+9.03{\times}10^{-5}x^3$. In case of mean of drape coefficient, it was increased according to the rule of that the more tuck and miss stitch overlap. A high degree of correlation was found between stiffness and drape coefficient. The regression equation of drape coefficient($y$) can be represented by $y=y=\sqrt[3]{Stiffness}-10.72$.