Abstract:

In order to study the color matching principles for digital rotor spinning, Red, yellow and blue three primary colors cotton fiber are used to spin blended yarn, and measure the spectral reflectance of the samples with datacolor colorimeter. The Stearns-Noechel model parameters M of the two-component and three-component samples were determined by classical way，model parameter M is optimized considering the wavelength factor. Then the parameter M is simplified according to the optimal parameter M and the wavelength are linely related or segment-related. The study show that the average color difference of the two-component and three-component sample decreases from 2.7 to 1.48 and from 3.32 to 1.66 using the optimal parameter M, and the optimal parameter M has significant effect. The study also show that when the optimal parameters M and the wavelength are linearly related, the average color difference of two categories samples increases to 3.59 and 4.56, which can’t satisfy color matching needs, and when the optimal parameter M and the wavelength are segment-related, the average color difference of two categories samples is 1.54 and 1.91, better than the result of the classical algorithm. At the same time research find that Stearns-Noechel model has different color prediction ability for two-component and three-component samples, the prediction accuracy of two-component samples is better than that of three-component samples.

Key words: digital rotor spinning, color matching, Stearns-Noechel model, parameter modification