Empirically derived optimization model: Theoretical formulation and validation

dc.contributor.authorZengeya, Miles
dc.contributor.authorGadala, Mohamed S.
dc.date.accessioned2021-12-22T13:13:58Z
dc.date.accessioned2023-08-23T05:12:16Z
dc.date.available2021-12-22T13:13:58Z
dc.date.available2023-08-23T05:12:16Z
dc.date.issued2012-03
dc.descriptionEmpirically derived flow and power loss equations that accurately predict these two important journal bearing parameters. ► Five variable optimization model that can easily be implemented (Matlab program included). ► Hybrid optimization offers the dual benefits of both gradient based and genetic algorithms for improved convergence. ► Improved model predictions over current models.en_US
dc.description.abstractA set of empirically derived equations that accurately predict leakage flow and power loss in journal bearings are proposed. The proposed equations take into account the effect of groove geometry, groove location, as well as the supply pressure and the bearing geometry. Simulation results show maximum deviation of 15% on leakage flow and 10% on power loss as compared to 25% and 13%, respectively, for models in the literature. Utilizing the proposed equations, a hybrid optimization technique that minimizes power loss and side leakage in journal bearings operating in laminar flow is developed. The results also indicated that the groove location has a significant effect on the optimization model and significant power loss savings may be realized with appropriate location of oil groove.en_US
dc.identifier.citationZengeya, M., & Gadala, M. (2012). Empirically derived optimization model: theoretical formulation and validation. Tribology international, 47, 145-158.en_US
dc.identifier.doihttps://doi.org/10.1016/j.triboint.2011.10.009
dc.identifier.urihttps://dspace-uat.adu.ac.ae/handle/1/1906
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.subjectThermohydrodynamicen_US
dc.subjectOptimum designen_US
dc.subjectHybrid techniqueen_US
dc.subjectFinite element methoden_US
dc.titleEmpirically derived optimization model: Theoretical formulation and validationen_US
dc.title.alternativeTribology Internationalen_US
dc.typeArticleen_US

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