2024 Volume 45 Pages 73-83
To predict garment pressure accurately, it is essential to model the biaxial deformation behavior of textiles by considering yarn properties and weave structure. Yarn's mechanical properties are nonlinear, and assuming a Poisson's ratio of 0.5, we can employ a hyperelastic model to simulate large deformation behavior. In this study, we approximate the mechanical properties of spun yarn using an equivalent model of a homogeneous monofilament. We use CAE software, Abaqus, to simulate the biaxial tensile behavior of a plain weave.We estimate the stress-strain relationship by fitting the strain energy density function to the Mooney-Rivlin approximation, which is based on biaxial deformation in the course direction. This direction closely resembles the deformation experienced when wearing a garment. We also utilize CAD data for a general-purpose mannequin and a shirt. When we compared the results with the measured garment pressure of a T-shirt worn on a mannequin, we found that they were in good agreement with the measured garment pressure.
