Review on Hydrodynamic Analysis of Journal Bearing using Computational Fluid Dynamics
Dharani kumar S1, Kavya L2, Arthur Adaikalaraj J3, Ajay Richard J4
1Mr. S. Dharani Kumar M.E., (PhD) Department of Mechanical Engineering in Sri Eshwar College of Engineering.
2Ajay Richard J Department of Engineering in Sri Eshwar College of Engineering.
3Arthur Adaikalaraj J Department of Engineering in Sri Eshwar College.
4Kavya L Department of Engineering in Sri Eshwar College.
Manuscript received on 08 April 2019 | Revised Manuscript received on 14 May 2019 | Manuscript published on 30 May 2019 | PP: 1950-1954 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3088058119/19©BEIESP
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Abstract: Hydrodynamic journal bearings are preferred in various industries and sectors due to its medium load application and cost. The total load of the shaft is handled by the bearing in the oil film layer which has a thickness of several microns. This produces a pressure that is distributed on the surface of the bearing and the load is bared without any metal to metal contact. Since the rotational velocity is high, the metal surfaces and lubricant get heated up which may produce cavitation effects due to wedging action. Ansys Fluent is used for solving numerical equations and the obtained value is imported to Static Structural for FSI approach. The approach of Computational Fluid Dynamics (CFD) is applied to infer Navier-Stokes equation to obtain the pressure distribution for the corresponding boundary conditions. Therefore, analyzing the bearing using hydrodynamic analysis method and obtaining the Fluid-Structure Interaction (FSI) model can unveil the deformation occurred in the bearing housing. Most of the analysis done has been performed with an assumption of steady-state flow condition. However, it is not applicable for validation purposes.
Keywords: Boundary Condition, Cavitation, Computational Fluid Dynamics, Fluid-Structure Interaction, Fluid Structure Interface, Pressure Distribution, Turbulent effects.

Scope of the Article: Analysis of Algorithms and Computational Complexity