Design and Research of Automatic Garment-Pattern-Generation System Based on Parameterized Design

Peng Jin, Jintu Fan (), Rong Zheng (), Qing Chen, Le Liu, Runtian Jiang and Hui Zhang
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Peng Jin: College of Fashion and Design, Donghua University, Changning District, Shanghai 200051, China
Jintu Fan: Shanghai International Fashion Innovation Centre, Donghua University, Changning District, Shanghai 200051, China
Rong Zheng: Shanghai International Fashion Innovation Centre, Donghua University, Changning District, Shanghai 200051, China
Qing Chen: Shanghai International Fashion Innovation Centre, Donghua University, Changning District, Shanghai 200051, China
Le Liu: School of Design, Jiangnan University, Wuxi 214122, China
Runtian Jiang: College of Fashion and Design, Donghua University, Changning District, Shanghai 200051, China
Hui Zhang: College of Fashion and Design, Donghua University, Changning District, Shanghai 200051, China

Sustainability, 2023, vol. 15, issue 2, 1-20

Abstract: Personalization in the apparel industry shows importance and the potential for demand, but the existing personalization has unreasonable time cost, labor cost, and resource waste. To solve the problems of the waste of resources as well as both time and labor cost caused by manual pattern making in clothing personalization, a method of automatic garment pattern generation based on a parametric formula and the Python language was proposed. Based on the classification of common curves in patterns, three curve fitting algorithms based on different parameters were derived and combined with the Python language to achieve personalized generation of different patterns by classifying the parameters in the system into key parameters, secondary parameters, and variable parameters. Three different methods for verifying the accuracy of the garment patterns were proposed based on curve fitting similarity and three-dimensional virtual modeling, and the accuracy of the proposed system was verified. The results show that the accuracy and comfort of the patterns generated via the system were high. Meanwhile, the Python-language-based system fits well with the production system of enterprises, which can improve the rapid response capability of garment personalization, greatly save the time cost and labor cost of enterprises, reduce resource loss, and contribute to the sustainable development of the garment industry.

Keywords: garment pattern; automation; parametric design; Python; personalization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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