| Abstract |
| This study aimed to derive regression equations describing the relationship between clothing pressure and the applied stretch ratio of elastic fabrics, thereby providing quantitative design data for functional sportswear. Five stretchable fabrics composed of polyester or nylon blended with polyurethane were selected, and fabric stretch (%) was measured using the Ziegert and Keil (1988) method, which simulates clothing deformation under low-load, wide-area conditions. Experimental armbands were fabricated with six levels of applied stretch ratios (0%, 10%, 30%, 50%, 70%, and 90%), and clothing pressures (kPa) was measured on both cylindrical models and the human upper-arm models using an AMI-3037 air-pack sensor. Linear regression analysis showed a strong positive correlation between the applied stretch ratio and clothing pressure, with coefficients of determination (R²) ranging from 0.775 to 0.900 depending on the movement posture. The derived equations enabled the quantitative estimation of stretch ratio required to achieve specific pressure levels. Fabric structure significantly influenced the regression models; in particular, the woven Poly_85 fabric exhibited pressure characteristics distinct from those of knitted fabrics. These findings fabrics according to their structural and elastic properties can improve model accuracy. The proposed regression models offer practical guidelines for determining pattern reduction rates in elastic sportswear design and may be extended to compression garments, rehabilitation wear, and wearable healthcare systems. |
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| Key Words |
| Upper Arm Band, Reduction Ratio, Clothing Pressure, Fabric Properties, Sportswear, 상완밴드, 축소율, 의복압, 소재 물성, 스포츠웨어 |
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