Abstract
The mechanical deformation behaviour of textiles can be divided into textile drape and drapability. Both determine the overall appearance, aesthetics and fit of garments. In garment simulation, this behaviour must be simulated as realistically as possible in order to enable a meaningful evaluation of design and construction. It is important to understand the relationships between physical textile properties and textile fall. In this study, the real and simulated textile drop are examined and compared. The drop coefficient serves as a numerical measure. The real textile drape according to Cusick and the simulated textile drape are determined for three cotton fabrics with different weave constructions. A subjective image comparison evaluates the simulation quality. As a result of this study, a considerable deviation between simulated and real fabric behaviour can be observed, especially with regard to the anisotropy of textile material. Therefore, further research should focus on the development of simulation algorithms that take into account the anisotropic nature of textiles and ensure that the simulations accurately reflect the behaviour of the fabric in different directions. In addition to the need to ensure access to the simulation algorithms, the introduction of standardized data collection methods is essential for the further spread of simulation in the apparel industry. A coordinated effort to define these standards and best practices will facilitate collaboration and enable more accurate and reliable simulations across different organizations and platforms.
Publisher
Union of Engineers and Technicians of Serbia, Belgrade
Reference22 articles.
1. Matusiak, M. (2017). Influence of the Structural Parameters of Woven Fabrics on their Drapeability. Fibers and Textiles in Eastern Europe, Vol. 25, 56-64, doi:10.5604/12303666.1227883;
2. Al-Gaadi, B.; Göktepe, F.; Halász, M. (2012). A new method in fabric drape measurement and analysis of the drape formation process, Textile Research Journal, Vol. 82, 502-512, doi: 10.1177/0040517511420760;
3. Pattanayak, A.K.; Luximon, A.; Khandual, A. (2010). Prediction of drape profile of cotton woven fabrics using artificial neural network and multiple regression method, Textile Research Journal, Vol. 81, 559-566, doi: 10.1177/0040517510380783;
4. Šarac, T.; Stepanovic, J.; Ćirković, N. (2018). Analysis of a fabric drape profile, Vlakna a Textil, Vol. 25, 27-34;
5. DIN Deutsches Institut für Normung e. V. (2008). Textilien -Prüfverfahren für Vliesstoffe -Teil 9: Bewertung des textilen Falls einschließlich des Fallkoeffizienten, Beuth Verlag GmbH, Berlin, doi:10.31030/1401174;