A Robust Modification to the Universal Cavitation Algorithm in Journal Bearings

dc.date.accessioned2021-12-21T12:52:26Z
dc.date.accessioned2023-08-23T05:13:25Z
dc.date.available2021-12-21T12:52:26Z
dc.date.available2023-08-23T05:13:25Z
dc.date.issued2017
dc.descriptionFirst successful mathematical model ever proposed for the lubrication problem was by Osborne Reynolds in 1886. Even Reynolds himself was doubtful that the fluid film can sustain subatmospheric pressures and hence he limited his analysis to lower eccentricities. The remarkable analytical solution to the Reynolds equation by Sommerfeld in 1904 predicted a negative antisymmetric pressure (tensile stress) in the divergent region of the bearing with magnitudes as large as the positive pressure one. Liquids in pure form or with small amount of dissolved gaseous content were reported to withstand tensile stresses of even up to hundreds of atmospheres .en_US
dc.description.abstractIn the current study, a modified fast converging, mass-conserving, and robust algorithm is proposed for calculation of the pressure distribution of a cavitated axially grooved journal bearing based on the finite volume discretization of the Adams/Elrod cavitation model. The solution of cavitation problem is shown to strongly depend on the specific values chosen for the lubricant bulk modulus. It is shown how the new proposed scheme is capable of handling the stiff discrete numerical system for any chosen value of the lubricant bulk modulus (b) and hence a significant improvement in the robustness is achieved compared to traditionally implemented schemes in the literature. Enhanced robustness is shown not to affect the accuracy of the obtained results, and the convergence speed is also shown to be considerably faster than the widely used techniques in the literature. Effects of bulk modulus, static load, and mesh size are studied on numerical stability of the system by means of eigenvalue analysis of the coefficient matrix of the discrete numerical system. It is shown that the impact of static load and mesh size is negligible on numerical stability compared to dominant significance of varying bulk modulus values. Common softening techniques of artificial bulk modulus reduction is found to be tolerable with maximum two order of magnitudes reduction of b to avoid large errors of more than 3–40% in calculated results.en_US
dc.identifier.doi10.1115/1.4034244
dc.identifier.urihttps://dspace-uat.adu.ac.ae/handle/1/1859
dc.language.isoen_USen_US
dc.publisherASMEen_US
dc.subjectAxially grooved journal bearingsen_US
dc.subjectCavitation algorithmen_US
dc.subjectAdams/Elrod modelen_US
dc.subjectLubricant bulk modulusen_US
dc.subjectNumerical stabilityen_US
dc.titleA Robust Modification to the Universal Cavitation Algorithm in Journal Bearingsen_US
dc.title.alternativeJournal of Tribologyen_US
dc.typeArticleen_US

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