• 제목/요약/키워드: fabric drape properties

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Cusick Drape 시뮬레이션을 이용한 옷감의 물성 예측 (Estimation of fabric properties using Cusick Drape simulation)

  • 김진겸;서영호
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.80-81
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    • 2022
  • 본 논문에서는 옷감의 물성을 측정하는 수단인 Cusick drape 시스템을 이용하여 실제 옷감 데이터에 대한 물성을 예측한다. 3차원 볼류메트릭 시스템을 이용하여 실제 Cusick drape 시스템의 옷감 데이터를 3차원 포인트클라우드 형식으로 획득한다. 옷감과 동일한 모양과 크기의 메쉬 데이터를 이용하여 Cusick drape 시뮬레이션을 진행하고 실제 Draping된 옷감과 가장 유사하게 Draping되는 옷감의 물리 파라미터를 획득한다.

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A Study on the Fabric Drape Evaluation Using a 3D Scanning System Based on Depth Camera with Elevating Device

  • Kim, Jongjun
    • 패션비즈니스
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    • 제19권6호
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    • pp.28-41
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    • 2015
  • Properties of textile fabrics influence the appearance, aesthetics, and performance of garment. Drape and related properties of fabrics affect profoundly the static and dynamic appearance during wearer's movement. The three dimensional shape of the folded structure often deforms with time or with subtle vibration around the fabric specimen during the drape measurement. Due to the uneven and complex nature of fabrics, the overall shape of the fabric specimen on the drape tester often becomes unstable. There is a need to understand the fundamental mechanisms of how draping may generate pleasing forms. Two drape test methods, conventional Cusick drape test, and in-built drape tester, based on a depth camera, are compared. Fabric specimens including cotton, linen, silk, wool, polyester, and rayon are investigated for the fabric drape and other physical/mechanical parameters. Drape coefficient values of fabric specimens are compared based on the final drape images, together with the intermediate 3D drape images of the specimens during elevation process of the drape tester equipped with a stepper motor system. The correlation coefficient between the data based on the two methods is reasonably high. Another advantage from the depth camera system is that it allows further analysis of three-dimensional information regarding the fabric drape shape, including the shape of nodes or crest and trough.

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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Measurement of Drape Appearance Similarity between Real and Digital Stretch Fabric

  • Kim, Hyeon-Ah;Lim, Ho-Sun
    • 한국의류산업학회지
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    • 제23권5호
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    • pp.645-654
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    • 2021
  • This study aimed to visually compare the implementation of digital virtual fabrics for stretch fabrics mainly used in clothing that closely touch the body, using CLO. A digital fabric was used in CLO after measuring the weight, thickness, bending, and tensile force of five adhering clothing fabrics using a CLO fabric kit. The visual similarity of draftability was compared by measuring the area of the bending angle and the shape of the wrinkles of the real and digital fabric. A comparison of the bending angles showed that Fabric A was -0.75° and Fabric D was -2.5°, showing slightly lower drape properties than the real fabric. Meanwhile, Fabric B was 2.75°, Fabric C was 2.13°, and Fabric E was 1.375°, showing slightly higher drape properties in the vertical direction than the real fabric. Comparing the widths of the drape shapes, Fabric A was 0.77%, Fabric B was 1.27%, Fabric C was 0.06%, and Fabric E was 1.48%, which showed a slight difference. Fabric D showed a difference of 3.17% and was implemented where the digital fabric spread a little wider. As a result, the stretch fabric was visually expressed similarly to the real fabric as a whole in CLO. For 3D virtual clothing technology to be used widely in the close clothing industry in the future, more research on real clothing is needed.

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.

직물 드레이프 재현성에 관한 연구 (A Study on the Repeatability of Fabric Drape)

  • 정영진;민병길;이준석
    • 한국의류산업학회지
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    • 제1권1호
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    • pp.50-55
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    • 1999
  • The repeatability of fabric drape was studied. Two methods for draping were used and the relation between node distributions was investigated using statistical analysis. With this, the relationship between node distribution and fabric mechanical properties was studied. The repeated measurements showed that there was no evidence that fabric has intrinsic node number and the mechanical properties influence on the number of nodes.

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The Changes of Appearance Properties of Bamboo Knitted Fabric After Loess Dyeing

  • Jee, Ju-Won
    • International Journal of Human Ecology
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    • 제8권2호
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    • pp.99-106
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    • 2007
  • In this study, the mechanical properties related to the fabric appearance of well being functional bamboo knitted fabric before and after loess dyeing were evaluated. The mechanical properties of fabrics were measured by KES-F system, that is, shape retention, draping, wrinkle recovery, compression property, and surface properties, and total hand value of three types of knitted fabric, 100% bamboo, 100% cotton, and bamboo / cotton blend (60 / 40) were evaluated before and after loess dyeing. As a result, it was found that appearance density, shape retention, and drape coefficient of cotton knitted fabric were greater than those of bamboo knitted fabric. After loess dyeing, shape retention and drape coefficient, wrinkle recovery of bamboo knitted fabric improved and WC/C and MMD/SMD decreased. According to THV, the hand of bamboo/cotton blend knit is the best among three samples by compensation the weak properties of the two fiber. Therefore, loess dyeing seemed to be a good method for improving shape retention and hand value of 100% bamboo and bamboo blended fabric.

3D 가상패션소재의 드레이프성 연구 - 3D 의상 CAD 시스템 활용 - (A Study on the Drape Profile Analysis of the Apparel Textiles and 3D Virtual Textiles using a 3D Digital Clothing Software)

  • 이윤주;김종준
    • 패션비즈니스
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    • 제15권5호
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    • pp.103-114
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    • 2011
  • During a wearer's movement, the apparel fabric layers collide each other in a highly complicated manner. The collision involves cloth-cloth, and cloth-body collision. The diversity of the textile fabrics, including silk, wool, cotton, and other synthetic fibers, together with the complex details of the apparel construction, makes the collision and other calculation procedure involved in the 3-dimensional clothing software system much more complicated. Therefore, there is a need to measure the behavior of the fabrics during the fabric collision cycles. In this study, as a first step, static measurements pertinent to the factors governing the appearance of the apparel fabrics were implemented. The drape profile, stiffness(Sd and Sf), tensile properties, thickness, and the air permeability were measured. The correlation between the parameters were calculated and reviewed. It is found that there is a high correlation of 0.97 between the actual fabric drape parameters and the 3D virtual fabric drape parameters. The measured drape coefficients of the fabrics show relatively good correlation with the measured fabric stiffness.

기모직물의 가공공정 및 기모횟수가 역학적 특성치에 미치는 영향(II) -드레이프성 및 방추성을 중심으로- (Effects of Treatment Process and Brushing Condition on Mechanical Properties of Brushed Fabrics (II) -Drapability and Wrinkle Recovery of Brushed Fabrics-)

  • 권헌선;권오경;성수광
    • 한국의류학회지
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    • 제18권5호
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    • pp.595-601
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    • 1994
  • This study was accomplished to investigate drape coefficient and wrinkle recovery of brushed fabrics according to treatment processes and brushing conditions. For this study, grey fabrics of blended ratio of polyester 65% : cotton 35% were bleached and dyed. These fabrics were then brushed 1, 3, 5 and 7 times. Drape coefficient and wrinkle recovery of brushed fabrics were measured by drape tester and shirley crease recovery tester respectively. The experimental results were analysed statistically to relate mechanical properties, handle, drapability, and wrinkle recovery 1) Drape coefficients of dyed fabric showed lower values and wrinkle recovery showed higher ones than those of bleached and dyed fabrics. Especially dyed fabric brushed 3 times showed good appearance and form stability. 2) Considering the blocked properties that contribute to the drape coefficient and wrinkle recovery of brushed fabrics, bending and shearing properties had a high degree of correlation with brushed fabrics, and 2HB/W showed a high positive correlation with drape coefficient and a high negative correlation with wrinkle recovery.

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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.