Abstract:

In order to overcome drawbacks of the conventional yarn evenness tester in predicting fabric appearance quality, this paper presents the characterization of the individual yarn deformation and its influence on the resulting quality of the fabric appearance. In the model, the yarn deformation parameters such as the cross-secional area, the yarn cross-sectional perimeter, the void ratio, the yarn flattening ratio f and yarn density were evaluated. Using mathematical modeling, the cross-sectional area and perimeter were presumed as the critical yarn cross-sectional parameters for predicting the fabric appearance quality. Then the finite element modeling (FEM) method and experiment verification were performed to analyze the variation of the cross-sectional area and perimeter in the process of weaving. The results show that the cross-sectional area varhes almost 2 to 3 times greater than the cross-sectional perimeter. The corrilation analysis among the major ellipse radius, the cross-sectional perimeter, and the cross-sectional area are further conducted. The findings reveal a weak correlation between amjor ellipse radius and cross-sictional perimeter, while major ellipse radirs and cross-sectional area are uncorrelated.

Key words: yarn evenness, yarn flattening ratio, finite element analysis, image processing