水基拉延油混合体系黏度的广义预测模型

Generalized Model for Predicting Viscosity of Mixed System in Water-base Drawing Oil

黏度是水基拉延油的一个重要物理参数,不同冲压钢的生产需要不同的黏度来配合,因此需要建立模型来控制黏度。水基拉延油是含牛顿流体和非牛顿流体的混合体系,为建立一种可用于预测混合体系黏度的模型,制备不同配比的水基拉延油样品并测试其在不同温度下的黏度,并采用Bingham模型、Cragoe模型、Arrhenius模型和Kendall-Monroe模型、ASTM双参数模型对水基拉延油的黏度进行预测。结果表明,采用ASTM双参数模型来预测水基拉延油的黏度较为准确。为提高ASTM双参数模型的预测精度,考虑水基拉延油组分配比的影响,对ASTM模型进行修正,修正后的模型更适用于含牛顿流体和非牛顿流体混合体系的黏度预测。

Viscosity is an important physical parameter of water-based drawing oil.The production of different stamping steel needs different viscosity of drawing oil,so it is necessary to establish a model to control the viscosity of drawing oil.Water-based oil is a mixture of Newtonian fluid and non-Newtonian fluid.In order to establish a model that can be used to predict the viscosity of the mixed system,water-based drawing oil samples with different proportions were prepared and their viscosity at different temperatures was tested.Bingham model,Cragoe model,Arrhenius model,Kendall-Monroe model and ASTM two parameter model were used to predict the viscosity of water-based drawing oil.It is found that ASTM two parameter model is more accurate to predict the viscosity of water-based drawing oil.In order to improve the prediction accuracy of ASTM two parameter model,considering the influence of water-based drawing oil composition ratio,the ASTM model was modified.The modified model is more suitable for viscosity prediction of mixed system containing Newtonian fluid and non Newtonian fluid.