• 제목/요약/키워드: drape property

검색결과 34건 처리시간 0.039초

직물의 드레이프성 실험방법에 관한 비교 평가 연구 (A Study on the Comparison of Test Methods of Fabric Drapaability)

  • 최인려;방혜경
    • 한국의상디자인학회지
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    • 제16권2호
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    • pp.189-194
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    • 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.

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직물의 Drape성에 관한 연구 -Drap 계수를 중심으로 - (A study on the Drapability of woven fabrics - With the Drape Coefficient -)

  • 안필자
    • 대한가정학회지
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    • 제23권3호
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    • pp.9-16
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    • 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.

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네오프렌 소재의 레이저 커팅기법 적용에 따른 물성 및 드레이프 형상 변화 연구 (A Study on Changes of Drape Shapes and Physical Properties by Applying Laser-Cutting Technique on Neoprene Materials)

  • 한유정;김종준
    • 패션비즈니스
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    • 제19권4호
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    • pp.109-119
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    • 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.

원형도를 이용한 직물 드레이프성 측정 (The Fabric Drape Property Measurement Using A Circularity)

  • 이경우;조성종;주기세
    • 한국정보통신학회논문지
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    • 제8권1호
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    • pp.185-191
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    • 2004
  • 본 논문은 컴퓨터 그래픽에서 주요 이슈중 하나인 의류 착장시스템 구현을 위하여 직물의 가장 큰 특성중의 하나인 드레이프성 측정에 관한 연구이다. 가장 최적의 직물의 드레이프성을 구하기 위해 거리함수를 이용하여 볼록점을 계산한 후 직물의 둘레 및 면적, 볼록점 사이의 최대 최소 점과 평균거리와 같은 정보를 구하였다. 그리고 직물의 드레이프성을 나타내는 척도로 직물의 둘레와 면적을 기준으로 원형도를 구하였다. 실험결과 원형도가 직물의 드레이프성을 나타내는 여러 특성치 중 가장 좋은 결과를 보였다. 측정된 직물의 드레이프성은 의류 착장시스템 개발에 기여할 것이다.

섬유 드레이프 이미지를 활용한 드레이프 생성 모델 구현에 관한 연구 (A Study on the implementation of the drape generation model using textile drape image)

  • 손재익;김동현;최윤성
    • 스마트미디어저널
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    • 제10권4호
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    • pp.28-34
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    • 2021
  • 드레이프는 의상의 외형을 결정하는 요인 중 하나로 섬유·패션 산업에서 매우 중요한 요소 중 하나이다. 코로나 바이러스의 영향으로 비대면 거래가 활성화되고 있는 시점에서, 드레이프값을 요구하는 업체들이 많아지고 있다. 하지만 중소기업이나 영세 기업의 경우, 드레이프를 측정하는 것에 대한 시간과 비용적 부담을 느껴, 드레이프를 측정하는 데에 어려움을 겪고 있다. 따라서 본 연구는 디지털 물성을 측정하여 생성된 3D 시뮬레이션 이미지를 통해 조건부 적대적 생성 신경망을 이용하여 입력된 소재의 물성값에 대한 드레이프 이미지 생성을 목표로 하였다. 기존 보유한 736개의 디지털 물성값을 통해, 드레이프 이미지를 생성하였으며, 이를 모델 학습에 이용하였다. 이후 생성 모델을 통해 나온 이미지 샘플에 대하여 드레이프 값을 계산하였다. 실제 드레이프 실험 값과 생성 드레이프 값 비교결과, 첨두수의 오차는 0.75개였으며, 드레이프값의 평균 오차는 7.875의 오차를 보임을 확인할 수 있었다.

인공신경망을 이용한 드레이프성 예측 (Prediction of Fabric Drape Using Artificial Neural Networks)

  • 이소민;유동주;신보나;윤선영;심명희;윤창상
    • 한국의류학회지
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    • 제45권6호
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    • pp.978-985
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    • 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 (mwarp, mweft), coefficients of quadratic terms in the tensile-force quadratic graph in the warp, weft, and bias directions (cwarp, cweft, cbias), and force required for 1% tension in the warp direction (fwarp). 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.

쿼드 분석법을 이용한 정련 견직물의 질감 변별 평가 (Sensorial Property Evaluation of Scoured Silk Fabrics Using Quad Analysis)

  • 김정진;김은애
    • 한국의류학회지
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    • 제29권6호
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    • pp.877-884
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    • 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.

BTCA와 실리론 처리 면직물의 역학적 성질 (Mechanical Properties of Cotton Fabric Treated with BTCA and Polyalkkyleneoxide modified aminofunctional silicone)

  • 조성교;남승현
    • 한국의류학회지
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    • 제24권7호
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    • pp.987-994
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    • 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.

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직물의 Drape 특성과 Flare Skirt의 헴라인 단면 형상 (Drape property of fabrics and Shape horizontal section of hem line of flare skirt)

  • 이수정
    • 대한가정학회지
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    • 제33권4호
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    • pp.149-155
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    • 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.

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