Learning curve improvement model for sportswear comfort and sports functionality analysis
Author:
Affiliation:
1. 1 Jinling Institute of Technology , Nanjing, Jiangsu, 211169 , China .
2. 2 Jiangsu Sainty Corp., Ltd ., Nanjing, Jiangsu, 210012 , China .
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/amns.2023.2.00939
Reference17 articles.
1. Harifi, T., & Montazer, M. (2017). Application of nanotechnology in sports clothing and flooring for enhanced sport activities, performance, efficiency and comfort: a review. Journal of Industrial Textiles, 46(5), 1147-1169.
2. Suganthi, T., Senthilkumar, P., & Dipika, V. (2017). Thermal comfort propertiesof a bi-layer knitted fabric structurefor volleyball sportswear. Fibres and Textiles in Eastern Europe, 25(1), 75-80.
3. Li, Rui, Yang, Jie, Xiang, & Chunhui, et al. (2018). Assessment of thermal comfort of nanosilver-treated functional sportswear fabrics using a dynamic thermal model with human/clothing/environmental factors. Textile research journal.
4. Wang, S., Xu, Y., & Wang, H. (2017) Finite element modelling of Chinese male office workers’ necks using 3D body measurements. The Journal of The Textile Institute, 108(5), 766-775,
5. Atalie, D., Atalie, D., Tesinova, P., Tesinova, P., Tadesse, M. G., & Tadesse, M. G., et al. (2021). Thermo-physiological comfort properties of sportswear with different combination of inner and outer layers. Materials, 14(22), 6863-.
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