Abstract:

In order to more accurately predict the spatial mixed color of dope-dyed polyester interwoven fabrics, the classical cylindrical section fabric geometric structure model was improved, and the computing method of yarn flattening coefficient after interwoven was proposed. Then, a new color prediction model with intermediate function and empirical coefficient was built based on the analyses of existing fiber blended and yarn interwoven color prediction models, which is suitable for the dope-dyed polyester interwoven color mixing fabrics. Meanwhile, the iteration method for determine the optimal empirical coefficient was introduced. Finally, total 288 peices of dope dyed polyester interwoven fabrics including 2 types of fabric specifications, 4 combinations of warp/weft density, and 32 weave structures, were woven for validation and evaluation on the accuracy and effectiveness of the new model. The results show that the prediction accuracy and applicability of new model are superior to those of the existing fixed form color prediction models, The advantage of the new model is that its empirical coefficient can bi adjust for different types of interwoven fabrics so as to lbtain a more accurate color prediction.

Key words: woven fabric, dope-dyed polyester, interwoven color mixing, spatial color mixing, color prediction, color model, fabric geometric structure