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Optimization design of cycling clothes’ patterns based on digital clothing pressures

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Abstract

Enormous research has focused on the analysis of garment wear-comfort using clothing pressure; however, optimization of clothing pressure based garment comfort has remained elusive. In this context, we propose a new method to optimize cycling clothes’ patterns based on the difference of static-to-dynamic clothing pressure (DSDCP). Firstly, we mapped 53 measuring points on an upper cycling garment on which we measured garment pressures in both static and dynamic conditions. We then analyzed DSDCP to find the rightful garment patterns to adjust according to the analyzed results. A garment optimization degree (OD) is proposed to carry out a quantitative analysis for garment comfort optimization. Finally, two upper cycling garments were made according to the original patterns and optimized patterns. A comparative analysis through cyclist wear trials of the cycling garments to test the optimization effect was done. Results show that our proposed method improves dynamic wear comfort significantly. Moreover, the optimized upper cycling garment, offers additional improvement of dynamic wear comfort.

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Authors and Affiliations

  1. College of Fashion and Design, Donghua University, Shanghai, 200051, China

    Kaixuan Liu & Jianping Wang

  2. Key Laboratory of Clothing Design & Technology, Donghua University, Ministry of Education, Shanghai, 200051, China

    Kaixuan Liu & Jianping Wang

  3. Ecole Doctorale EDSPI, University of Lille, Lille, 59000, France

    Kaixuan Liu, Edwin Kamalha & Tarun-Kumar Agrawal

  4. GEMTEX Laboratory, ENSAIT, Roubaix, 59100, France

    Kaixuan Liu, Edwin Kamalha & Tarun-Kumar Agrawal

  5. Department of Textile and Ginning Engineering, Busitema University, Tororo, 236, Uganda

    Edwin Kamalha

Authors
  1. Kaixuan Liu
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  2. Edwin Kamalha
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  3. Jianping Wang
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  4. Tarun-Kumar Agrawal
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Correspondence to Jianping Wang.

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Liu, K., Kamalha, E., Wang, J. et al. Optimization design of cycling clothes’ patterns based on digital clothing pressures. Fibers Polym 17, 1522–1529 (2016). https://doi.org/10.1007/s12221-016-6402-2

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  • DOI: https://doi.org/10.1007/s12221-016-6402-2

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