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Prediction and categorization of fabric drapability for 3D garment virtualization

Title
Prediction and categorization of fabric drapability for 3D garment virtualization
Authors
Kim, JiminKim, Yun JeongShim, MyoungheeJun, YoungminYun, Changsang
Ewha Authors
윤창상
Journal Title
INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
ISSN
0955-6222JCR Link

1758-5953JCR Link
Citation
INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
Keywords
Drapability3D virtualizationMechanical propertiesClassification systemCluster analysis
Publisher
EMERALD GROUP PUBLISHING LTD
Indexed
SCIE; SCOPUS WOS
Document Type
Article

Early Access
Abstract
Purpose This study aims to create a classification system enabling users of 3D virtualization software to intuitively perceive the drapability of fabrics. Design/methodology/approach 1,001 fabrics were used, and thickness, bending property, and tensile strength were identified as main mechanical properties influencing drapability; they have been set as independent variables in the model established to predict drape coefficient. Findings A system to classify fabrics into eight groups by drapability was suggested by a cluster analysis, and a multinomial logistic regression analysis was used to set a model that allows users to predict which group a fabric belongs to from its mechanical properties. Originality/value This paper provided basic materials for the construction of a virtual clothing simulation system, which is believed to contribute to cost and time savings in decision-making by reducing the number of trials and errors required by the conventional approach.
DOI
10.1108/IJCST-08-2019-0126
Appears in Collections:
신산업융합대학 > 의류산업학과 > Journal papers
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