混料设计在电极涂液配方中的应用

Application of mixture design to formulation of a new electrode coating solution

混料设计是解决配方问题非常有用的工具。本文介绍了混料设计结合Minitab统计软件,应用于氯碱行业的电极涂液配方设计的方法。T涂层是最新研发的产品。采用传统的试错法一直无法解决多响应变量的配方设计问题。该产品的响应变量为电位、寿命和酸电解耐受时间3个指标,而原材料主要包含U、R、T、I4种材料。混料设计结果表明U、R、T对寿命、电位和酸电解耐受时间都有显著影响。推导出了回归方程。另外,绘制出的等值线图清晰展示出3个指标的值与各种配方比例之间的关系。通过响应优化器,找到同时满足3个指标的最佳配方比例。最后,按照最佳配方比例安排试验验证,试验结果在预测范围之内,证明该模型有效。

Mixture design is a very useful method to solve the problem of material formulation.This paper introduces the applications of this method,with the aid of Minitab statistical software,to determine the formulation of an electrode coating solution for chlor-alkali industry.Coating T is a newly developed product.As multiple response variables are involved in the product,it is difficult to apply a traditional trial and error method to formulate this product.Coating T involves three response variables;life time,electric potential,and electrolysis tolerance time in acid.The raw materials of this product mainly include U,R,T and I.Mixture design shows that U,R and T significantly affect the three response variables.The regression equation is derived.In addition,contour plots are made and clearly show the relationship of the response variables with various material ratios.Subsequently,response optimizer is used and an optimal material ratio that meets the required performance of the product is identified.Finally,experiments are conducted according to this ratio to validate the efficacy of the method.The experimental results are within the prediction range,which demonstrates that the model is effective.