Fuzzy logic model to predict oil-film pressure in a hydrodynamic journal bearing lubricated under the influence of nano-based bio-lubricants

摘要

The present investigation was carried out to predict the oil-film pressure of a chemically modified rapeseed oil (CMRO) containing nano CuO/WS2/TiO2 using Response Surface Methodology (RSM) based D-optimal design. A fuzzy logic model has been developed to predict the oil-film pressure of journal bearing lubricated under the various nano-based bio-lubricants. The results confirmed that the fuzzy logic model is capable of predicting the optimum oil-film pressure of a hydrodynamic journal bearing lubricated under nano-based bio-lubricants.