摘要
采用中心组合设计试验方案,用响应面分析法考察了雷马素金黄RGB在棉针织物湿蒸染色时,元明粉和纯碱质量浓度、汽蒸时间对染色织物K/S值的影响,建立了二次多项式回归方程的预测模型。通过模型的回归分析、3个影响因子方差分析,响应面图和等高线图的直观分析,以及所设计染色工艺的实验验证,证明响应面模型能够准确地预测棉针织物湿蒸染色中各工艺条件对K/S值的影响,最佳染色工艺条件为:元明粉质量浓度52.5 g/L、纯碱质量浓度53.8 g/L、饱和蒸汽下汽蒸152 s。
Central composite design and response surface methodology were applied to investigate the influence of the mass concentration of sodium sulfate and soda ash, and steaming time on the K/S value of fabric dyed by wet-steam dyeing process with Ramzol golden yellow RGB. The prediction model of quadratic polynomial regression equation was established. The regression analysis of the model, the variance analysis of three influencing factors and the visual analysis of response surface map and the contour map as well as the experimental verification of the designed dyeing process proved that the response surface model could accurately predict the influence of the process conditions on the K/S value in the wet-steam dyeing process of knitted cotton fabric, and the optimal dyeing conditions were concluded as follows: the mass concentration of sodium sulfate 52.5 g/L, the mass concentration of soda ash 53.8 g/L and steam time 152 s under saturated water steam.
引文
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