Color in Ink-Jet Printing: Influence of Structural and Optical Characteristics of textiles
In the ink jet printing process, the colors in the design are typically generated through CAD software. Drops of ink, as specified by the CAD software are ejected onto the surface of a pre-treated fabric substrate. Effective pre-treatment prevents migration and bleeding prior to fixation. During post-treatment, some inks react with the pre-treated fiber and inks left on the surface are removed by washing. This dissertation presents some important issues concerning color reproduction quality for dye-based ink-jet printing on various cotton fabric structures, such as color mixing and color appearance variation in relation to surface characteristics. The data gathered is both instrumental and perceptual. This research investigated Kubelka-Munk theory for non-uniform ink penetration into textile substrates. Following calculation of the scattering and absorption coefficients, the ink percentage on the cotton substrate and the reflectance values of the secondary colors were computed. An evaluation of the chromatic effects of the ink fixation onto the fiber has also been carried out, based on experimental data.
In general, the surface properties of textiles have been specified using Kawabata Evaluation System-Fabrics for tactile characteristics, which includes friction coefficient, the mean deviation of friction coefficient, and surface roughness. This research focused on the
relationship between the surface texture characteristics and color appearance of the inkjet printed fabrics. Color appearance was evaluated through instrumental measurement and visual assessment. The surface texture characteristics of the substrate affected the color appearance of inkjet printed cotton fabrics in a different manner from dyed samples, especially in lightness (CIE L*). Several surface texture parameters were found to be linearly associated with the L* value in inkjet printed cotton fabrics. Rank order methods were employed to determine differences in the perceived colors and textures for a given set of samples and to estimate these differences. Results showed a high correlation between instrumental measurement and visual assessment of color lightness. Also, several surface characteristics were found to be highly correlated with the perceived surface texture.
Advisor:Professor R. Alan Donaldson; Dr. Traci A. M. Lamar; Dr. Trevor J. Little; Dr. David Hinks
School:North Carolina State University
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:textile technology management
Date of Publication:04/19/2007