A Mixed Lubrication Deterministic Model of an Elastic Support Water-Lubricated Tilting Pad Thrust Bearing

In order to study the effect of surface roughness on lubrication performance an elastic support water-lubricated tilting pad thrust bearing, a mixed (ML) deterministic model is hereby presented based unified Reynolds equation model. This very incorporates elastic–plastic deformation asperities and polymer matrix pad, as well rubber support. The randomly distributed generated by mathematical shares same distribution characteristics measured roughness. Greenwood Williamson asperity contact thin plate are combined solve stress deformation. Meanwhile, bearing ML compared with results calculated thermohydrodynamic (THD) thermo-elasto-hydrodynamic (TEHD) model, while film thickness also measurements. show that water smaller than THD TEHD but temperature higher. has great influence area ratio state, little average thickness. A higher indicates rotational speed required for achieve full hydrodynamic lubrication. closer results. Overall, it proved can more accurately predict bearings. Compared simulation half-infinite space severely overestimates surface, making unsuitable calculating under force or pressure. provides effective means high-precision prediction supported bearings coupled multi-layer soft materials.