织物拉伸弹性回复率与其力学性能的关系

摘要

To explore a more accurate and easy method for testing and characterization fabric’ s tensile elastic recovery performance, the bending, shear, tensile and compression properties of fabrics were tested by KES-FB-AUTO-A system tester, and two new parameters, residual bending curvature and residual shear deformation, were introduced based on the original mechanical parameters of KES system tester. Through data analysis, regression equations by which tensile elastic recovery rate and repeated tensile elastic recovery rate were calculated using mechanical parameters were established, respectively. The relationship between tensile elastic recovery rate and repeated tensile elastic recovery rate and mechanical parameters were analyzed. The results indicated that thtensile elastic recovery rate can be calculated by the regression equations with mechanical parameters under the condition of 95% confidence interval; Tensile response rates and shear stiffness have the greatest impact on the elastic recovery percentage of elongation, and hence fabric’ s tensile elastic recovery performance can be enhanced by improving its tensile response rates and shear stiffness.%为探究较精确、易行的测试表征和改善织物拉伸弹性回复性的方法，首先采用 KES-F 织物风格仪测试了织物的弯曲、剪切、拉伸和压缩性能，并在 KES 系统原有力学性能指标基础上引入两个新指标：残余弯曲曲率和残余剪切变形，通过数据分析分别建立了采用织物力学性能指标表示其拉伸弹性回复率和反复拉伸弹性回复率的回归方程；同时分析了织物拉伸弹性回复率和反复拉伸弹性回复率与各力学性能指标间的相关性。结果表明：在置信度区间95%条件下，拉伸弹性回复率均可由各力学性能指标的回归方程计算得到；拉伸功回复率和剪切刚度对织物拉伸弹性的影响最大，可以通过提高织物的拉伸功回复率及剪切刚度来改善织物的拉伸弹性回复性。