Quantitative analysis of 3D seam shape according to easing conditions for efficient sewing using muslin

This study quantitatively analyzes the data of 3D seam shapes that alter according to easing conditions. By numerically approaching easing, which is only taught using traditional methods, this study suggests a method of analyzing the changes in 3D surface area, volume, and seam shape. The 3D data of the completed samples were obtained through a 3D scanner, the solid shapes were analyzed using reverse engineering, and a new program was developed. The shape, area, and volume of the data were analyzed, and the deformation rate was measured using the radius of curvature. Linear seam lines were bent because of the mechanical pushing inflicted by the garment with easing. The area increased dramatically as the ease amount increased when the seam lines were short, whereas it was relatively unaffected when seam lines were long. The radii of curvature for curved seam lines show that, for all samples, the waveform is high at the center where the seam is. The peak value did not increase for curved seams when the ease amount increased. The sum of the areas increased with a larger radius of curvature for the curved seams. It is a crucial reference for easing in garments regarding quantitative changes in seam shapes and volumes according to easing type and amount.

Automated summary

This study quantitatively analyzes the data of 3D seam shapes that alter according to easing conditions. It suggests a new method for analyzing changes in 3D surface area, volume, and seam shape. The study found that when seam lines are short, the area increases dramatically with an increase in ease amount, while it is relatively unaffected when seam lines are long. Furthermore, the study shows that the radius of curvature for curved seam lines is related to waveform height, but the peak value doesn't increase with an increase in ease amount.