Applied Mathematics and Nonlinear Sciences (Jan 2024)

Learning curve improvement model for sportswear comfort and sports functionality analysis

  • Wang Shanshan,
  • Liu Jiaqi,
  • Fan Li,
  • Zhang Hua

DOI
https://doi.org/10.2478/amns.2023.2.00939
Journal volume & issue
Vol. 9, no. 1

Abstract

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In this paper, a performance optimization model for sportswear based on the learning curve effect is proposed on the learning curve base model, which is a systematic method for improving and optimizing sportswear’s comfort performance and sports functionality compared with the traditional model. Laplace’s law measurement method is used to predict the garment comfort pressure in terms of comfort measurement. The finite element method was used to analyze the sports apparel’s functionality. The results show that the most obvious deformation under the pressure of sportswear occurs in the middle section of the inner thigh, with a maximum value of 1.786E-002mm and a mean square error of 3.0875×10−14 .The research findings of this paper can serve as a reference for sportswear designers and manufacturers and encourage the development and innovation of the sportswear industry.

Keywords