3d digital modeling and design of custom-fit functional compression garment

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Abstract

User-oriented custom-fit compression garment (CG) catering to individual preferences is fast growing. This study aims to establish and verify a new three-dimensional (3D) modeling and design system of custom-fit functional compression garment including digitalized body scanning, digital knitting design and performance assessment. The personalized numerical 3D models of human and elastic compression fabrics were created based on medical magnetic resonance scanning images, anthropometry, and finite element analysis. The developed numerical model was validated using experimental data and demonstrated agreement with the measured skin pressure profiles. The tissue deformations, curvature variations and internal stress distributions by the designed and fabricated CG were visualized via the developed numerical model and used for assessment of biomechanical effects of the designed CG on the specific subject. The applicability of the proposed digitalized development and assessment system for custom-fit pressure product was demonstrated, which would not only contribute to improving custom-fit, pressure function and wearing comfort, but also conform to the promising trend of automation and data exchange in modern textile and fashion manufacturing technologies.

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Liu, R., & Xu, B. (2019). 3d digital modeling and design of custom-fit functional compression garment. In Advances in Intelligent Systems and Computing (Vol. 849, pp. 161–169). Springer Verlag. https://doi.org/10.1007/978-3-319-99695-0_20

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