Color analysis and performance optimization of 3D virtual simulation knitted fabrics

Abstract

In the modern fashion industry, computer-aided systems are essential for planning, design, and marketing. Three-dimensional (3D) virtual simulation technology allows designers to style virtual models and create distinct looks. However, accurately simulating real fabrics requires more than just color, fiber type, mass, and thickness. This research aimed to evaluate the color uniformity and accuracy of 3D virtual simulations of knitted fabrics compared to real ones. Color uniformity ensures that cloth is observed as it is throughout the model until we observe it from different angles. Without this, the fabric would have a different color impression, which may impart our study towards different sides. Focusing on 80 knitted fabric samples, the study analyzed yarn types, stitch patterns, and colors. A seven-point Likert scale was used to assess the product quality through sensory evaluation of real and simulated garments. The results demonstrated that 3D simulations can accurately replicate the color characteristics of knitted fabrics, producing outcomes comparable to real ones. This study highlights the potential of 3D simulation as a valuable tool in the textile industry, improving efficiency and innovation in fabric design and manufacturing. The outcomes demonstrate that 3D virtual simulations can accurately replicate the color characteristics of knitted fabrics, producing outcomes that are comparable to those of actual knitted fabric. This study advances the use of digital tools in the fashion industry while encouraging efficiency and innovation in fabric creation.

Keywords

• color analysis
• 3d virtual simulation
• knitted fabric
• texture analysis
• performance optimization
• fabric properties
• virtual textiles