Application of discriminant analysis to parameters describing the drape for two types of woven fabrics

Juan, Francisco Javier Capdevila; Gallissà, Enric Carrera

doi:10.1080/00405000.2015.1061784

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…In this paper, a clear and objective assessment of the properties of the obtained textile fabrics with 3D printing is proposed. The results of Capdevila et al [10] depict that an accuracy of 76% was achieved in the analysis of draperies of woolen fabrics. In the present work, a close accuracy of 70% has been achieved in the analysis of textile linen fabrics.…”

Section: Discussionmentioning

confidence: 97%

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Drape of Composite Structures Made of Textile and 3D Printed Geometries

et al. 2022

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Applications of 3D printing in the fashion industry have continued to attract interest from academia and industry in order to improve and add functionalities to products. Among these applications, an interesting one is 3D printing on textile fabric. Composite structures created by 3D printing and textile fabric change a drape by improving or worsening its appearance. The scope of this work is to evaluate the effect of various 3D printed geometries on textile fabric regarding fabric drapes. The drape coefficient of the created composite structure is evaluated using a drape tester built according to EN ISO 9073-9. The results taken are compared with an algorithm developed for determining drape parameters and 3D form representation using color digital images and their image histograms. The measured values of the drape coefficient are close, with a minimal difference, up to 4%. The 3D printed patterns show a significant effect on the drape coefficient of textile fabrics by depicting another way to modify fabric drapes and create complex shapes by using less material. This can be seen as an advantage in the fashion industry where complex geometries can be added to textile fabrics, while changing fabric drape and product personalization and adding functionalities for garments and technical textiles.

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Section: Discussionmentioning

confidence: 97%

“…Capdevila et al [10], determine the drape characteristics of woolen fabrics with an accuracy of 76%. Using classifiers, the authors reported errors of up to 4% when using data from color digital images to determine the drape of woolen textile fabrics.…”

Section: Introductionmentioning

confidence: 99%

Drape of Composite Structures Made of Textile and 3D Printed Geometries

et al. 2022

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Multidimensional analysis for fabric drapability

Shin,

Yun

2023

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This study analyzed fabric drapability in one, two, and three dimensions to provide an assessment method reflecting real conditions. One-dimensional analysis of drapability involved observing the fabric movement by reciprocating motion. The movement appeared differently depending on the fabric characteristics, and the shape and location of the node showed differently, which were considered to be influenced by the weight of the sample along with the drape coefficient. Two-dimensional analysis identified the significant factors for the drape information. This examination confirmed that, even if drape factors were similar, differences in draped shape were observed based on the factors related to node shapes. Three-dimensional analysis, using a 3D scanner, involved the use of the mean distances between draped samples and the standard truncated cone, their standard deviation, and the coefficient of variation. The coefficient of variation was high in the groups wherein the shape of the drape was irregular. In the 3D analysis, the distances between samples and the standard truncated cone were expressed in colors to intuitively deliver the drape information. To determine a factor that could indicate drapability among the factors derived from each dimension, the existing drape coefficient was employed for correlation analysis. Three pairs of samples with similar drape coefficients but different drape shapes were selected to verify the above results. In conclusion, one-dimensional node location, two-dimensional standard deviation of node severity, and three-dimensional coefficient of variation were shown to effectively demonstrate the drape characteristic that the drape coefficient could not indicate.

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Application of discriminant analysis to parameters describing the drape for two types of woven fabrics

Cited by 2 publications

References 9 publications

Drape of Composite Structures Made of Textile and 3D Printed Geometries

Drape of Composite Structures Made of Textile and 3D Printed Geometries

Multidimensional analysis for fabric drapability

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