基于RSM-NSGAⅡ的MoDTC和ZnDDP复配的润滑性能参数优化

Optimization of Lubrication Performance Parameters for MoDTC and ZnDDP Compound Based on RSM-NSGAⅡ

针对润滑油中二烷基二硫代甲酸钼(MoDTC)和二烷基二硫代磷酸锌(ZnDDP)2种添加剂的复配问题,提出了基于响应面分析结合非支配遗传算法(RSM-NSGAⅡ)的摩擦学性能参数优化模型。以KN4010矿物油为基础油、MoDTC和ZnDDP为添加剂,按不同质量比配制成润滑油,并考察其摩擦学性能;通过Plackett-Burman试验筛选出对摩擦系数和磨斑宽度有关键影响的3个参数:MoDTC和ZnDDP复配质量比、添加质量分数和试验施加载荷;通过正交设计模拟试验,采用RSM-NSGAⅡ得到关于试验参数与摩擦学性能之间的回归模型;最后重新设计试验获得不同试验参数下,最优添加剂配比的摩擦学性能。试验结果表明,经RSM-NSGAⅡ获得的润滑油添加剂配比在特定试验参数下得到的摩擦学性能与预测性能绝对误差小于5%,得到可用于解决在不同施加载荷场景下性能优化设计方案。

A tribological performance parameter optimization model based on response surface methodology combined with non-dominated sorting genetic algorithm(RSM-NSGAⅡ)was proposed to address the issue of compounding molybdenum dialkyl dithiocarbamate(MoDTC)and zinc dialkyl dithiophosphate(ZnDDP)additives in lubricating oil.Using KN4010 mineral oil as base oil and MODTC and ZnDDP as additives,lubricating oil was prepared under different mass ratios and its frictional properties were investigated.A Plackett-Burman experiment was designed to identify three key influencing parameters for friction coefficient and wear scar width,i.e.,compound mass ratio of MoDTC and ZnDDP,mass fraction of additives and experimental load.By conducting orthogonal design simulation experiments,a regression model regarding the relationship between experimental parameters and tribological performance was obtained by means of RSM-NSGA II.Finally,additional experiments were designed to obtain the frictional performance with optimal additive blend ratio under different experimental parameters.Experimental results demonstrate that the absolute error between the tribological performance and predicted performance under the ratio of lubricating oil additive obtained by RSM-NSGAⅡ,as well as specific experimental parameters is less than 5%,and this approach can be used to develop performance optimization designs for various load scenarios.