Learning curve improvement model for sportswear comfort and sports functionality analysis
Data publikacji: 01 lis 2023
Otrzymano: 15 lis 2022
Przyjęty: 12 maj 2023
DOI: https://doi.org/10.2478/amns.2023.2.00939
Słowa kluczowe
© 2023 Shanshan Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.