Viewed Lightness Prediction Model of Textile Compound Multifilament

To facilitate the design of the textile compound multifilament before spinning, a viewed lightness prediction model was proposed. To examine the prediction effect, 7 different color monofilaments were used to simulate 21 multifilaments according to a simplified multifilament model. Then, the mixed lightness of these multifilaments were calculated by adding the weighted tristimulus values of the surface color of a multifilament, and scaled by 12 observers in the subjective experiment. The average difference between the calculated and scaled lightness was 0.39. In order to determine the significant factors affecting the lightness difference, the Pearson’s correlation analysis was conducted. The results show that the lightness difference decreased with the increase of the calculated CIE lightness (L*) or yellow-blue value (b*) of the multifilament. Finally, the optimized viewed lightness prediction model was derived by the SPSS analysis. The average lightness difference was reduced to -0.01, indicating this model can provide reliable prediction for personalized compound multifilament.