Dyeing involves fixing a dye on a cloth, or creating a dyeing pattern. Because dyeing patterns depend on the physical properties of fibers, dyes, and dyeing technique that are employed, predicting a finished dyeing pattern is difficult even for artisans. Because dyeing is an irreversible phenomenon that requires a lot of time, to accurately predict a completed pattern would improve the efficiency of dyeing and reduce its costs.

In this paper, we propose a digital method for designing dyeing patterns based on a simulation of the dyeing process. Dyeing experiments was conducted to model dyeing process accurately. From experiments, we defined the dyeing process is combination of two phenomena: capillary phenomenon and diffusion phenomenon. In the proposed method, integrated these two phenomena by using the cellular automaton method and generate dyeing patterns that produce different results depending on the pattern-generating parameters.

The thickness of yarn and spaces between yarns in fabric is not uniform because of the influence of spinning and weaving. Therefore, in the proposed method, we use the fluctuation property, which is inherent in nature, to generate a dyeing pattern that preserves a natural impression.

Based on the simulation of the proposed dyeing process, we developed a system that generates patterns based on KANSEI. Associating KANSEI with pattern generation parameters produces dyeing patterns that exhibit the required impressions (KANSEI) for the generated dyeing patterns. Based on this development method, we constructed a basic system for pattern generation and verified the effectiveness of the method.

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