Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : March 07, 2022 - March 08, 2022
A dynamic shape prediction method for knitted fabrics is proposed. To improve the productivity of knitted fabrics, it is required to predict the shape of finished knitted fabrics and determine the kind of yarns and knitting parameters without actual knitting. The shape of knitted fabrics reflects mechanical properties of yarns composing them. In addition, interaction between yarns such as friction influences that shape. Therefore, in this study, we propose a method to predict the dynamic shape of knitted fabrics by considering stretching, bending, twisting deformation and friction. First, a knitted stitch is modeled based on the differential geometry at yarn level. Next, we use it to formulate the equations of motion. Furthermore, we discuss the interaction between the yarns. Finally, a numerical example using the proposed method is presented.