原液着色涤纶交织混色织物的颜色预测模型

Model for predicting color mixing of dope-dyed polyester interwoven fabrics

为准确预测色纱交织后形成的空间混合颜色,对以往圆柱形纱线的织物几何结构模型进行了改进,并提出了织物几何结构模型中纱线压扁系数的计算方法;在现有有色纤维混合和色纱交织混合颜色预测模型的基础上,构建了一个带经验系数和中间函数的新模型用于原液着色涤纶交织混色织物的颜色预测,并提出采用牛顿迭代确定经验系数的方法。为检验模型的准确性和有效性,设计并织造了单组纬显色和双组纬显色,4种经纬密度组合以及32种组织结构共288块原液着色涤纶长丝交织混色织物。研究结果表明:与以往固定形式的颜色预测模型相比,新模型的预测精度良好;在不同场合下,新模型可调整经验系数,以适用于不同类型色纱交织混合颜色的更准确预测。

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 determining the optimal empirical coefficient was introduced. Finally,total 288 pieces 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 new model is that its empirical coefficient can be adjusted for different types of interwoven fabrics so as to obtain a more accurate color prediction.