Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 1, 2023


Pages


DOI

Article

Learning curve improvement model for sportswear comfort and sports functionality analysis

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Authors

Shanshan Wang Affiliation:
Jinling Institute of Technology, Nanjing, Jiangsu, 211169, China.
, Jiaqi Liu Affiliation:
Jiangsu Sainty Corp., Ltd., Nanjing, Jiangsu, 210012, China.
, Li Fan Affiliation:
Jinling Institute of Technology, Nanjing, Jiangsu, 211169, China.
and Hua Zhang Affiliation:
Jinling Institute of Technology, Nanjing, Jiangsu, 211169, China.


Abstract

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

Learning curve, Sportswear, Comfort performance, Laplace’s law, Finite element analysis, 91E45


Citation

Wang, S., Liu, J., Fan, L., & Zhang, H. (2023). Learning curve improvement model for sportswear comfort and sports functionality analysis. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00939

Published by: Engineering Journals

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