Learning curve improvement model for sportswear comfort and sports functionality analysis

Author:

Wang Shanshan1,Liu Jiaqi2,Fan Li1,Zhang Hua1

Affiliation:

1. 1 Jinling Institute of Technology , Nanjing, Jiangsu, 211169 , China .

2. 2 Jiangsu Sainty Corp., Ltd ., Nanjing, Jiangsu, 210012 , China .

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

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