Fit Analysis for Racket Sports Apparel by Virtual Simulation Technique

Year 2024, Volume: 34 Issue: 2, 99 - 109

Sai Krishnan Arumbakkam Narasimhan

https://doi.org/10.32710/tekstilvekonfeksiyon.1110944

Abstract

This study determines the fit of racket sportswear for women’s interlock knitted top in different body zones of sports personnel by altering the pattern shapes and fabric yield by using a virtual CAD platform. The fabrics with areal densities of 120, 160, and 200 Grams / Sq.m were chosen, and twenty-seven virtual patterns were developed by altering the patterns in armhole shapes and dart positions based on the measurements taken by female sports personnel. A parametric avatar was created, and all the patterns were simulated to check the fit of the avatar by virtual simulation techniques using Lectra - Modaris software. Ease and strain were determined in critical fit zones and optimized using design expert statistical software to get the perfect fit on the customized avatar. Sportswear has been constructed using optimized parameters, and subjective evaluation is done to compare the virtual and real fit.

Keywords

Pattern alteration, Sportswear, 3D Technology, fit

References

• 1. Fan J, Yu W, Hunter L. 2004, Clothing appearance and fit: Science and Technology,,England:Woodhead Publishing limited.
• 2. Varghese N, Thilagavathi, G. 2012. Fit of sari blouse: Influencing parameters and assessment. Journal of Textile and Apparel, Technology and Management 7(4), 1-19.
• 3. Labat K. L, Delong, M. R. 1990. Body Cathexis and Satisfaction with Fit of Apparel. Clothing and Textiles Research Journal 8(2),43-48.
• 4. Kim D. E , Labat K. 2013. Consumer experience in using 3D virtual garment simulation technology. Journal of the Textile Institute 104(8),819-829.
• 5. Shin E, Damhorst, M. L. 2018. How young consumers think about clothing fit?”. International Journal of Fashion Design, Technology and Education 11(3),352-361.
• 6.. Booradya L. M. 2011. Functional clothing- principles of fit. Indian Journal of Fibre and Textile Research 36(4),344-347.
• 7. Yu X, Zhang W, YanvQ. 2009. A Hybrid Neural Network and Immune Algorithm Approach for Fit Garment Desig. Textile Research Journal 79(14),1319-1330.
• 8. Watkins P.2011. Designing with stretch fabrics. Indian Journal of Fibre and Textile Research 36(12),366-379
• 9. Ancutiene K, Strazdiene E, Lekeckas K. 2014. Quality evaluation of the appearance of virtual close-fitting woven garments. Journal of the Textile Institute 105(3),337-347.
• 10. Filgueiras A , Fangueiro R, Soutinho F. 2009. Drape behaviour of functional knitted fabrics for sport clothing. Indian Journal of Fibre and Textile Research 34(3),64-68.
• 11. Ancutienė K , Sinkevičiūtė D. 2011, The Influence of Textile Materials Mechanical Properties upon Virtual Garment Fit. Material Science 17 (2),160-167.
• 12. Fatkić E , Geršak J. 2011. Influence of Knitting Parameters on the Mechanical Properties of Plain Jersey Weft Knitted Fabrics. Fibers and Textiles in eastern europe 19(5),87-91.
• 13. Ashdown S. P, DeLong, M. 1995. Perception testing of apparel ease variation. Applied Ergonomics 26(1), 47-54.
• 14. Mounir H, Khadijah Q, Hany A. H, Ebraheem S, Mofeda A. 2012. Influence of Sportswear Fabric Properties on the Health and Performance of Athletes. Fibres and Textiles in Eastern Europe 20(4),82-88.
• 15. Manshahia M, Das A. 2014. High active sportswear – a critical review. Indian Journal of Fibre and Textile Research 39(4),441-449.
• 16. Indrie liliana,Mehmet mete mutlu , Nilay ork efendioglu, Tripa simona, Pablo diaz garcia, Miquel soler. 2019. Computer aided design of knitted and woven fabrics and virtual garment simulation. Industria Texila 70(6),558-563.
• 17. Hwang Shin S. J, Lee H. 2020.The use of 3D virtual fitting technology: comparison between sourcing agents contractors and domestic suppliers in the apparel industry.International Journal of Fashion Design, Technology and Education 13(3),300-307.
• 18. Sayem, A. S. M., Kennon, R., and Clarke, N. 2010. 3D CAD systems for the clothing industry. International Journal of Fashion Design, Technology and Education 3(2),45-53.
• 19. Lee E, Park H. 2017. 3D Virtual fit simulation technology: strengths and areas of improvement for increased industry adoption. International Journal of Fashion Design, Technology and Education 10(1),59-70 .
• 20. Sybille krywinski , Hartmut Rodel, Bandrea Schenk. 2001. Links between Design,Pattern Development and Fabric Behavior for clothing and Technical Textiles. Journal of Textile and Apparel Management 1(4),1-8.