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在满足特定内燃机油的理化性能条件下,尽量增大粘稠基础油用量,减少增粘剂用量,从而达到优化内燃机组分组成的目的,在经济上和技术上都会获得很好的效果。本工作选取七种牌号的基础油、三种增粘剂和一种降凝剂调配试样,测定试样100℃的运动粘度和-20℃的表观粘度,然后用线性回归和非线性回归等数学手段处理实验结果,得出了准确地表达基础油调配及增粘剂对调合油高低温粘度影响的数学模型,并运用这些模型开发了能较准确地测算配制符合一定性能要求的内燃机油基础油所需各组分量的计算机应用程序。
To meet the specific physical and chemical properties of internal combustion engine oil conditions, try to increase the amount of viscous base oil, reducing the amount of tackifier, so as to achieve the purpose of optimizing the composition of the internal combustion engine components, both economically and technically will be very good results. In this work, seven grades of base oil, three tackifiers and one pour point depressant were selected to determine the kinematic viscosity at 100 ℃ and the apparent viscosity at -20 ℃. Linear regression and nonlinear regression And other mathematical means to deal with the experimental results, come to accurately represent the base oil blending and tackifier on the viscosity of the blend of high and low viscosity of the mathematical model, and the use of these models developed a more accurate calculation formulate certain performance requirements of the internal combustion engine oil Computer application for each component required for base oil.