回归分析法在橡胶配方试验中的应用

应用均匀设计法设计橡胶配方，研究胶粉、白炭黑、炭黑和棕色树脂粉4种填料对SBR胶料密度、硬度、弯曲屈挠、耐磨耗等7项性能的影响。采用回归分析法拟合试验数据，得到优选的定量描述性能与填料变量之间关系的诸回归方程，利用它们优化和预测配方。验证试验表明，所优的配方密度小、硬度高、其它性能基本达到要求。全面显示了回归分析法在橡胶配方试验中应用的全过程，着重说明了使用回归分析法时不能忽略的几个问题：试验总数、回归模型、回归方程和回归系数的显性检验、剩余标准离差、回归方程的优选和验证试验。

Application of regression analysis to rubber formulation experiment

The effects of four fillers,such as rubber crumb,silica,carbon black and brown resin powder on the properties of SBR compound,such as density,hardness,bending flexure,wear resistance and so on were investigated by designing the rubber formula with the uniform design method.The optimized regression equations describing the relationship between the properties of rubber compound and the variables of fillers quantitively were obtained by fitting the experimental data with the regression analysis,and the equations were used to predict and optimize the rubber formula.The results of confirmation test showed that the optimized formula featured lower density,higher hardness and other acceptable properties.The whole process of applying the regression analysis to the rubber formulation experiment was revealed with focus on some unnegligible issues:total number of experiments,regression model,notability test of regression equation and regression coefficient,remained standard deviation,and optimization and confirmation test of regression equation.