Akademik Veri Yönetim Sistemi
INDUSTRIA TEXTILA, cilt.66, sa.5, ss.269-277, 2015 (SCI-Expanded)
In this study, drape coefficient, one of the most important aesthetic properties of a fabric, was determined by both image analysis and fuzzy-logic methods. Within the context of the study, suiting fabrics produced from 100% wool worsted yarns were used as material. In the experimental part, image of the fabric placed on a circular support table with 18 cm diameter was captured by a high resolution digital SLR camera. Drape coefficient was calculated, after the captured image was processed by using image analysis techniques. At the second part, a fuzzy-logic model was established to predict fabric drape coefficient. For this purpose, physical and Mechanical properties of the fabrics such as fabric drape, unit weight, thickness, tensile strength, tensile elongation, flexural rigidity and shear properties were measured by conventional methods. Furthermore, physical and mechanical properties were used as independent variables in the multiple-linear regression models to predict the drape coefficient. At last, parameters with high significance levels were selected as input variables in the fuzzy-logic model. Results showed that image analysis and fuzzy-logic models can determine drape coefficient with high accuracies. Nevertheless, results of fuzzy logic method were found closer to the conventional Cusick method.