VIRTUAL FIT EVALUATION FOR OPTIMIZATION OF GARMENT COMPONENT’S PARAMETERS

Apparel fit is influenced by body proportion, fabric, and design parameters, but much of the fit evaluation is carried out in a static model, which leads to time consumption and higher development costs. In this work, an attempt has been made to quantify the fit objectively for a basic crewneck T-shirt for men’s wear made of cotton and cotton-lycra blended single jersey knitted fabric. A parametric avatar model was created, and virtual patterns were developed by changing the design parameters at three levels in the CAD platform. The fit is objectively quantified as strain and ease in different garment fit zones of the body. Virtual 3D fit software evaluates the fit zones of the garment by incorporating the low-stress mechanical properties of the knitted fabrics into an avatar model. There is a significant influence on pattern parameters and material compositions; cotton-lycra garments reveal lower ease at various fit zones.