Single-Sided Jacquard Knit Fabric Development and Seamless Ski Underwear Zoning Design based on Body Mapping Sportswear
Source abstract
Abstract
Abstract In order to meet the functional requirements of professional skiers for ski underwear, such as warmth, breathability, moisture absorption, sweat drainage, and stretch elasticity, six single-sided jacquard knit fabric structures were designed and then knitted with polyester and DRYARN. Then, 12 fabrics were acquired and ranked comprehensively by the one-way analysis of variance and grey correlative analysis based on entropy. According to the fabric properties and sweat distribution on the human skin surface, the professional ski underwear was zoning designed and the wearing experiment and evaluation were carried out on the “Newton” sweated manikin system. The analysis results show that the fabric with DRYARN® material has better air permeability and moisture permeability. Thermal resistance, Clo value, and permeability play important roles in comprehensive evaluation. The results of wearing experiment show that the seamless professional ski underwear woven based on body mapping sportswear has superior function and reasonable design, which can provide technical support for the design of professional seamless ski underwear.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Thermoregulation and physiological responses · Textile materials and evaluations · Winter Sports Injuries and Performance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Fashion Design and Technology , College of Fashion and Design, Donghua University , Shanghai , China
Key Laboratory of Clothing Design , Donghua University , Shanghai , China
Shanghai Belt and Road Joint Laboratory of Textile Intelligent Manufacturing , Shanghai , China
Shanghai Institute of Design and Innovation , Tongji University , China
SINO-Japan Program of Fashion Design, College of Fashion and Design , Donghua University , Shanghai , China
References (22)
Show source-provided references
1. Jiao, J., Li, Y., Yao, L., Chen, Y., Guo, Y., Wong, S., et al. (2017). Effects of body-mapping-designed clothing on heat stress and running performance in a hot environ-ment. Ergonomics, 60(10),1–1444.10.1080/00140139.2017.1306630 ↗
2. Park, S. J., Tamura, T. (1992). Distribution of evaporation rate on human body surface. Annals of Physiological Anthropology, 11(6), 593–609.10.2114/ahs1983.11.593 ↗
3. Cotter, J. D., Patterson, M. J., Taylor, N. (1995). The topography of eccrine sweating in humans during exercise. European Journal of applied Physiology and Occupational Physiology, 71(6),549–554.10.1007/BF00238559 ↗
4. Fogarty, A. L., Barlett, R., Ventenar, V., Havenith, G. (2007). Regional foot sweat rates during a 65-minute uphill walk with a backpack. The 12th International Conference on Environmental Ergonomics. pp. 283–284.
5. Weiner, J. S. (1945). The regional distribution of sweating. The Journal of Physiology, 104, 32–40.10.1113/jphysiol.1945.sp004103 ↗
6. Machado-Moreira, C. A., Smith, F. M., Heuvel, A., Mekjavic, I. B., Taylor, N. (2008). Sweat secretion from the torso during passively-induced and exercise-related hyperthermia. European Journal of Applied Physiology, 104(2),265–270.10.1007/s00421-007-0646-x ↗
7. Smith, C. J., Havenith, G. (2011). Body mapping of sweating patterns in male athletes in mild exercise-induced hyperthermia. European Journal of Applied Physiology, 111(7),1391–1404.10.1007/s00421-010-1744-8 ↗
8. Smith, C. J., Havenith, G. (2011). Sweat mapping in humans and applications for clothing design. INCHES, Loughborough University, UK.
9. Baker, L. B., Barnes, K. A., Anderson, M. L., Passe, D. H., Stofan, J. R. (2016). Normative data for regional sweat sodium concentration and whole-body sweating rate in athletes. Journal of Sports Sciences, 34(4), 358–368.10.1080/02640414.2015.1055291 ↗
10. Raccuglia, M., Heyde, C., Lloyd, A., Hodder, S., Havenith, G. (2018). Spatial and temporal migration of sweat: from skin to clothing. European Journal of Applied Physiology, 118(10), 2155–2169.10.1007/s00421-018-3941-9 ↗
11. Wu H., Zhang, Y. (2010). Fabric assembling deign for improving thermal-wet comfort of sportswear. Shanghai Textile Science & Technology, 4, 39–43.
12. Varadaraju, R., Srinivasan, J. (2019). Design of sports clothing for hot environments. Applied Ergonomics, 80, 248–255.10.1016/j.apergo.2018.02.013 ↗
13. Wang, F., Cai, X., Zhang, C., Shi, W., Lu, Y., Song, G. (2016). Assessing the performance of a conceptual tight-fitting body mapping sportswear (Body Mapping Sportswear) kit in a warm dry environment. Fibers & Polymers, 17(1), 151–159.10.1007/s12221-016-5375-5 ↗
14. Wang, F., Ferraro, S., Molinaro, V., Morrissey, M., Rossi, R. (2014). Assessment of body mapping sportswear using a manikin operated in constant temperature mode and thermoregulatory model control mode. International Journal of Biometeorology, 58(7), 1673–1682.10.1007/s00484-013-0774-4 ↗
15. Larry Kenney, W., Jack, W., David, C. (2019). Physiology of sport and exercise 7th edition with web study guide. Human Kinetics, Inc., Champaign, USA.
16. Zhang, W., Qian, X., Fan, J., Shi, Y., Niu, L. (2018) Research progress on sweating rate distribution of human body. Journal of Textile Research, 39(8), 179–184.
17. Kinnicutt, P., Domina, T., Macgillivray, M., Lerch, T. (2010). Knit-in 3d mapping’s effect on thermoregulation: preliminary results. Journal of the Textile Institute Proceedings & Abstracts, 101(2), 120–127.10.1080/00405000802283631 ↗
18. Xu, R., Zhang, P., Wang, H., Chen, X., Xiong, J., Su, J., et al. (2019). Structure and properties of a metallocene polypropylene resin with low melting temperature for melt spinning fiber application. Polymers, 11(4), 729.10.3390/polym11040729 ↗
19. Dong, J., Wan, S. (2015). Max–min and min–max gray association degree-based method for multiattribute decision making. Journal of Intelligent Systems, 24(4),525–531.10.1515/jisys-2014-0091 ↗
20. Zhe, W., Xigang, X., Feng, Y. (2021). An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index. Ecological Indicators, 131, 1–6.10.1016/j.ecolind.2021.108137 ↗
21. Falniowski, F. (2020). Entropy-based measure of statistical complexity of a game strategy. Entropy, 22(4), 470.10.3390/e22040470 ↗
22. Zhang, B., Wang, L., Fu, W., Liu, L., Wang, J., Li, Q. (2021). Multi-dimensional analysis of differentiation demands for ski underwear. Journal of Textile Research, 42(8), 161–166.