基于屈诱多形态力学测试的织物外观平整度表征

针对现有基于图像或视觉原理的织物外观平整度的测试方法易受到织物复杂花型和纹理的影响,存在织物品类适应性差等不足,提出基于后屈曲诱导的织物多形态构建和力学性能原位检测原理的织物外观平整度表征手段。选取30块织物试样进行多重形变下的原位力学测试,分别提取力-位移测试曲线的5个特征指标,利用SPSS软件对提取的织物特征指标及其厚度和面密度与主观评价等级进行相关性分析,同时采用逐步回归法构建外观平整度的预测模型,并借助1组独立实验对预测模型进行检验。结果表明,用原位力学测试方法构建的预测模型的评价结果与主观评估结果具有较好的吻合度,说明基于原位力学测试方法实施织物外观平整度表征是可行并有效的。

Characterization of fabric smoothness appearance based on buckling-induced mechanical test with multiple deformation of fabrics

The existing methods for testing fabric smoothness appearance based on image methods or visual principles are susceptible to the complex patterns and textures of fabrics,with shortcomings such as poor adaptability for different types of fabrics.Characterization method of fabric smoothness appearance was proposed based on the simultaneous-mechanical testing technology.30 fabric samples were selected for in-situ mechanical test under multiple deformations,and five characteristic indexes of the force-displacement test curve were extracted respectively.SPSS software was used to correlate the extracted characteristic indexes,and fabric thickness with the subjective evaluation results.The stepwise regression method was used to construct a prediction model for fabric smoothness appearance,and the prediction model was validated with the help of a set of independent experiments.The results show that the evaluation results of the prediction model based on the in-situ mechanical test method have a good agreement with the subjective evaluation results,indicating the feasibility and effectiveness of the in-situ mechanical test method to characterize the appearance of the fabric.