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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, Jimin; Kim, Yun Jeong; Shim, Myounghee; Jun, Youngmin; Yun, Changsang
- Ewha Authors
- 윤창상
- SCOPUS Author ID
- 윤창상
- Journal Title
- INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
- ISSN
- 0955-6222
1758-5953
- Citation
- INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
- Keywords
- Drapability; 3D virtualization; Mechanical properties; Classification system; Cluster analysis
- Publisher
- EMERALD GROUP PUBLISHING LTD
- Indexed
- SCIE; SCOPUS
- 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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