A parametric design approach for the development of whole garment knitwear pattern design system
Year: 2025
Type: article
Abstract: Pattern design plays a critical role in garment creation, serving as the foundation for virtual display, simulation, and production. In the field of whole garment knitwear, one of the primary challenges faced now is exploring efficient approaches to design patterns for custom styles rapidly. Currently, computer-aided design (CAD) systems mainly offer pattern libraries for a limited range of basic styles, such as pullovers and trousers. However, when designers are tasked with creating new products beyond the predefined libraries, designers often have to create patterns manually. This process is not only time-consuming but also heavily dependent on manual expertise, posing a significant barrier to the broader application of whole garment knitting technology. Moreover, current design systems impose limitations on pattern size modification. When specifications outside the predefined ranges are required, each pattern piece must be individually adjusted, resulting in a labor-intensive and error-prone process. To address these challenges, this study proposes a parametric design approach for whole garment pattern development based on graph theory. Subsequently, a corresponding design system was developed using C++ in Visual Studio 2022. The results demonstrate that the proposed method enables rapid pattern creation for any style that can be produced using whole garment technology, significantly reducing reliance on pattern libraries and manual expertise. In addition, the parametric design approach offers precise and flexible control over pattern size adjustments, effectively overcoming the limitations associated with traditional modification methods. This advancement greatly enhances the potential for applying whole garment knitting technology to personalized and customized garment production.
Authors: Lisha Lu, Xuewei Jiang, Gaoming Jiang
Institutions: Wuhan Textile University, Jiangnan University
Language: English
Subfield: Visual Arts and Performing Arts
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,100
OpenAlex ID: W4415300578