编码正交设计在优化聚酯瓶清洗工艺中的应用

Application of coded orthogonal test design in optimization of cleaning process of PET bottles

在优化聚酯瓶清洗工艺中采用编码正交设计方法安排实验,根据清洗剂中各组分(AES,AEO9和NaOH)的质量浓度及操作温度对清洗时间的影响,通过线性回归,分析各因素单项、交互作用项及平方项对实验结果的影响。根据P值(出现的概率)可以看出:z2(AEO9的质量浓度)非常重要,其次是z1(AES的质量浓度)和z1'(AES质量浓度的平方),再次项包括z4(温度),z1z2,z2z4和z3z4(NaOH的质量浓度和温度的交互作用)。由于交互项和平方项对清洗时间的影响是通过控制单一因素实现的,需要关注的参数顺序为:AEO9的质量浓度、AES的质量浓度、温度和NaOH的质量浓度。通过对回归方程进行规划求解,得出最佳工艺条件:AES的质量浓度为4.0 g·L-1,AEO9的质量浓度为6.9 g·L-1,NaOH的质量浓度为12.8 g·L-1,温度为35.5℃,预测的最小时间约为5 s。

Laboratory tests were organized by adopting coded orthogonal test design. Based upon effects of mass concentration of each components （AES, AEO9 and NaOH ） in the cleaning agent as well as the operating temperature, via linear regression, effects of all single factor items, interaction items as well as all square items were studied. The P value of the regression results showed that z2 （ AEO9 mass concentration） is the most important one, followed by zI （ AES mass concentration ） , z1＇ （ the square of AES mass concentration ）, z4 （temperature） ,z1z2 ,z2z4 and z2Z4 （the interaction between NaOH mass concentration and temperature）. Since all interaction items and square items influence the cleaning performance via single items, the sequence of importance is AEO9 mass concentration, AES mass concentration, temperature and NaOH mass concentration. The optimization of the regression equation indicated that the optimized conditions are ： AES 4.0 g · L^ - 1, AEO9 6.9 g · L^-1 ,NaOH 12. 8 g · L^-1 ,and temperature 35.5 ℃ ,and the predicted cleaning time is about 5 s.