前处理对涤纶长丝织物透气性的影响

Influences of pretreatment on the air permeability of polyester filament fabric

针对染整前处理不同工艺参数影响涤纶长丝织物透气性这一问题,在实验室模拟染整前处理过程,改变热定型温度、张力和碱浓度,测试织物在不同缩率和碱减量率的条件下透气率的变化。并通过多项式回归确定了缩率及碱减量率与透气率之间的关系,即织物的面积缩率与透气率呈非线性负相关,碱减量率与透气率呈非线性正相关。最后对缩率和碱减量率建立多元非线性回归方程并用BP神经网络预测透气率,预测误差均较小,而且预测精度较高。

To study how pretreatment factors affect the air permeability of polyester filament fabric, the pretreatment pracess of the polyester filament fabric was simulated, varying the heat-setting temperature, tension and alkali concentration, and the air permeability of the fabric with different shrinkage and weight reduction rates are measured. The relation between the shrinkage, alkali weight reduction rate and air permeability was established by regression analysis. The relation between shrinkage and air permeability is a negative non-linear correlation, and that between alkali weight reduction rate and air permeability is a positive non-linear correlation. The air permeability was predicted by multi-analysis regression and BP neural network from the shrinkage and alkali weight reduction rate, the results show that prediction error is small as to both methods, while the method of BP neural network exhibits more precise.