Rapid Simulation of Yarn-Level Realism in Fuzzy Yarn Knitted Fabrics 


Vol. 26,  No. 7, pp. 3169-3180, Jul.  2025
10.1007/s12221-025-00951-y


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  Abstract

Simulation of knitted fabrics is of significant importance in the textile industry for enhancing product design efficiency and reducing prototype development costs. However, traditional yarn models often fail to precisely replicate the complex textures and physical behaviors of yarns with abundant fuzziness, which significantly compromises the realism and practical value of simulations. To overcome these limitations, this study proposes an innovative grooved ribbon yarn model that optimizes the geometric construction of yarns, enabling more accurate simulations of fuzziness inter-covering and complex physical behaviors. Utilizing physically based rendering techniques and consumer-grade imaging equipment, the proposed method effectively reduces computational and imaging costs while improving the efficiency of fabric simulation workflows. The simulation results demonstrate that the improved yarn model significantly enhances the precision of simulations, particularly in reproducing the intricate textures and structural continuity of fuzz-rich yarns, thereby offering practical value for textile design and manufacturing applications.

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  Cite this article

[IEEE Style]

M. Song, J. Peng, K. Jiang, F. Liu, Z. Lu, "Rapid Simulation of Yarn-Level Realism in Fuzzy Yarn Knitted Fabrics," Fibers and Polymers, vol. 26, no. 7, pp. 3169-3180, 2025. DOI: 10.1007/s12221-025-00951-y.

[ACM Style]

Mingming Song, Jiajia Peng, Ke Jiang, Feng Liu, and Zhiwen Lu. 2025. Rapid Simulation of Yarn-Level Realism in Fuzzy Yarn Knitted Fabrics. Fibers and Polymers, 26, 7, (2025), 3169-3180. DOI: 10.1007/s12221-025-00951-y.

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