Simulation of Jenkins Model-Based Ferrofluid Lubrication in Double-Layered Porous Hyperbolic Slider Bearings under Slip Conditions

Bearings support moving parts and affect important mechanical properties like efficiency, friction, speed, and wear. To improve bearing performance and lifespan, it is vital to have contact surfaces that are tribologically optimised. An analysis of the impacts of slip velocity on the performance of a ferrofluid-lubricated, double-layered porous hyperbolic slider bearing is presented in this paper using a mathematical model. To find pressure distribution and important performance metrics like load-carrying capacity, friction, centre of pressure location, temperature rise, and stochastic surface roughness characteristics, the model solves the averaged Reynolds equation with suitable boundary conditions. Surface roughness may have a detrimental effect on bearing performance, but the findings show that negatively skewed roughness, particularly with negative variance, can reduce this effect. In most cases, the effect of magnetisation on lowering friction and temperature increase is negligible at best. On the other hand, the intake is where the centre of pressure usually moves. In addition, this study opens up new avenues for bearing performance and design optimisation by including the applied magnetic field configuration as a design variable.