Aspects of Optimisation of Mechanoactivation Process of Molybdenum Disulfide

The paper presents a comprehensive application of stepwise weighting ratio analysis (SWARA), combined trade-off solution (CoCoSo) and neural network methods to determine the optimal parametric combinations of mechanoactivation and molybdenum disulfide grinding process for use as an additive in engine oil. This makes it possible to significantly improve the technology of obtaining dispersed additives for motor oils of internal combustion engines.