• Journal of the Korea Fashion and Costume Design Association
• /
• v.16 no.2
• /
• pp.189-194
• /
• 2014

Drape property, one of the dynamic properties, is significant element of appearance and silhouette of garment. There are two methods of measuring drape property: objective method and subjective method. The purpose of this study is to search convenient method of measuring drape property which affects the appearance of garment. The method of this study was as below: First, the drape properties of ten various fabrics were measured within both of professional paper ring and visual handy measuring instrument. Second, Pearson's correlation coefficient was analyzed in order to analyze the correlation of two results of the experiments. This study used professional paper ring and visual handy measuring instrument on ten samples. Both of the results from the paper ring and visual handy measuring instrument were very similar in terms of drape property. Significant correlation between results of the professional paper ring and visual handy method indicates the efficiency of the visual handy measuring at school or work environment etc.

• Journal of the Korean Home Economics Association
• /
• v.23 no.3
• /
• pp.9-16
• /
• 1985

There are two standards for evaluation of fabric aesthetics, the feeling of fabric and the fabric sense of sight. Its drapalility with lustre is one of factors to decide the fabric sense of sight. This study was carried out to investigate the drape property property of fabrics. The fabric characteristics and the physisical properties of fabrics were tested. And the effect of the laundering on the drape properties was examined. RESULTS : 1. The drape coefficients of sampled fabrics were increasd as the thickness of fabrics were increased, excluding the fabric consisting of 60% polyester$\times$40% wool. 2. The drape coefficient of sampled fabrics were decreased as the cover faders of fabrics were increased, excluding the summer clothes and the fabrics of 100% wool. 3. The drape coefficients of fabrics other than sumer clothes were increased as the weight of fabrics were in creased. 4. Positive correlation was observed between the stiffness and the drape coefficient. 5. Negative correlation was observed between the fabric shrinkage and the drape coefficient. 6. The drape coefficient was decreased to a certain limit by laundering.But as the laundering was repeated up to certain number, the drape coefficient and the node number, a significant correlation was observed between the drape coefficient and the node shape.

• Journal of Fashion Business
• /
• v.19 no.4
• /
• pp.109-119
• /
• 2015

A wide variety of fashion materials focus on good drape property and softness. Among the recently emerging materials, Neoprene that consists of laminated knit on both sides of foamed neoprene sheet seeks a unique appearance that is considerably deviated from the current flow. Diverse processing methods for the newly released material heighten the value in function and beauty among trends of fashion materials by enhancing the appearance, touch and material property. Laser-cutting technique is one of the processing methods that is consistently used in the textile area. This study aimed to find the basic materials for applicability of laser-cutting technique to clothing goods after consideration of the changes in material property and drape shape, and to furthermore enforce different pattern conditions to Neoprene material, one of the newly attractive materials in the fashion area. In this study, we applied laser-cutting technique to Neoprene material sample under different conditions of pattern appearance, size and distance, based on current evaluation and theoretical background of Neoprene material, fashion trend and laser-cutting technique. Drape property can improve and the drape direction could also be controlled by a wide variety of laser-cutting techniques applied to Neoprene materials that have uniquely different appearances from most other textiles. This technique could be applied to the design for diversification of Neoprene clothing goods in the future.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.8 no.1
• /
• pp.185-191
• /
• 2004

This article is concerned with cloth wearing system issues arising in the computer graphics. In particular, we study the issues of fabric drape properties for representing cloth wearing system. The convex points based on distance function are calculated to represent useful fabric drape properties. The information such as perimeter area, max and min point among convex point, the average distance between convex points are extracted. A strategy of a circularity based on the perimeter and area is considered for fabric drape property measurement. By experimental result, the circularity is most powerful factor to represent the drape property among the several characteristics. The measured drape properties will contribute to cloth wearing system development.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2004.11a
• /
• pp.40-40
• /
• 2004

• Smart Media Journal
• /
• v.10 no.4
• /
• pp.28-34
• /
• 2021

Drape is one of the factors that determine the shape of clothes and is one of the very important factors in the textile and fashion industry. At a time when non-face-to-face transactions are being activated due to the impact of the coronavirus, more and more companies are asking for drape value. However, in the case of small and medium-sized enterprises (SMEs), it is difficult to measure the drape, because they feel the burden of time and money for measuring the drape. Therefore, this study aimed to generate a drape image for the material property value input using a conditional adversarial neural network through 3D simulation images generated by measuring digital properties. A drape image was created through the existing 736 digital property values, and this was used for model training. Then, the drape value was calculated for the image samples obtained through the generative model. As a result of comparing the actual drape experimental value and the generated drape value, it was confirmed that the error of the peak number was 0.75, and the average error of the drape value was 7.875

• Journal of the Korean Society of Clothing and Textiles
• /
• v.45 no.6
• /
• pp.978-985
• /
• 2021

This study aims to propose a prediction model for the drape coefficient using artificial neural networks and to analyze the nonlinear relationship between the drape properties and physical properties of fabrics. The study validates the significance of each factor affecting the fabric drape through multiple linear regression analysis with a sample size of 573. The analysis constructs a model with an adjusted R² of 77.6%. Seven main factors affect the drape coefficient: Grammage, extruded length values for warp and weft (m_warp, m_weft), coefficients of quadratic terms in the tensile-force quadratic graph in the warp, weft, and bias directions (c_warp, c_weft, c_bias), and force required for 1% tension in the warp direction (f_warp). Finally, an artificial neural network was created using seven selected factors. The performance was examined by increasing the number of hidden neurons, and the most suitable number of hidden neurons was found to be 8. The mean squared error was .052, and the correlation coefficient was .863, confirming a satisfactory model. The developed artificial neural network model can be used for engineering and high-quality clothing design. It is expected to provide essential data for clothing appearance, such as the fabric drape.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.6
• /
• pp.877-884
• /
• 2005

The importance and usefulness of a subjective evaluation of the sensorial properties of scoured silk fabrics is discussed. Silk fabric was treated at 12 different scouring rates and the scoured fabrics were used as specimens. Using paired comparisons, three trained subjects, evaluated seven subjective sensorial properties; softness, elasticity, drape, stiffness, crispness, and luster. A quad experimental design was adopted as an effective and reliable evaluation method. Results showed that some properties such as drape, luster were easily discriminated depending on the scouring rates whereas the smoothness was not easily discriminated. As the scouring rate increased, it was hard to discriminated the softness, drape, and stiffness, which indicates there is an optimum scouring rates to have a certain sensorial properties. It was suggested that these results should be applied to the manufacturing process.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.24 no.7
• /
• pp.987-994
• /
• 2000

Cotton fabrics were finished with mixture of BTCA and silicone by pad-dry-cure process to achieve better mechanical properties than those of finished with BTCA alone. The changes of mechanical properties o( finished cotton fabrics were measured with by the KES-FB System and the hand values were calculated from the data of mechanical properties. With the durable press finish with BTCA tensile, bending, shear and compression properties increased. In hand values, Stiffness Crispness and Anti-Drape Stiffness increased, and Fullness & Softness decreased. Whereas silicone treatment reduced bending and shear properties and improved tensile and compressional resilience. Thus, Stiffness Crispness and Anti-Drape Stiffness decreased, and Fullness & Softness increased. These results indicated that BTCA treatment restricts fiber/yarn mobility in the fabric structure due to crosslinking, but silicone treatment reduces inter-fiber and inter-yarn frictional forces. Therefore, finish with mixture of BTCA and silicone provided cotton fabrics with a lower Stiffness, Crispness and Anti-Drape Stiffness and a higher Fullness & Softnesss than finish with BTCA alone.

• Journal of the Korean Home Economics Association
• /
• v.33 no.4
• /
• pp.149-155
• /
• 1995

In this study, the formative property of flare skirts is carry out by the shape horizontal sections of hem line. Flare skirts was made by 10 kinds of fabrics with different physical properties. the length of flare skirts was 60cm. The main results obtained are as follows ; 1, The shape horizontal sections of hem line has differed with number of nodes and fabrics properties, in direction of texture. 2. According to the fabrics analysis of drapability decreased in order from Polyester/nylon(20/80)>Polyester(twill, thickness 0.2441)>Polyester(plain, thickness0.3760)>Polyester(plain, thickness 0.3687)>Polyester(plain, thickness 0.3101). 3. The correlation between the number of nodes and wave-height of modes and breadth showed a high negative correlation with the drapability of fabrics.