Rapid performance evaluation of journal bearings

Hirani, Harish; Rao, T. V. V. L. N.; Athre, K.; Biswas, S.

doi:10.1016/s0301-679x(97)00066-2

Cited by 50 publications

(41 citation statements)

References 10 publications

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“…In this study, where the main target is the hybrid journal bearing, the hydrodynamic part of the design has been developed based on Sommerfeld number. However, other design methods, like this of Hirani et al, 35 could also be used for a rapid performance evaluation of the hydrodynamic part of the journal bearing used.…”

Section: Ahjb Geometrical and Operational Restrictionsmentioning

confidence: 99%

Design of an active hydromagnetic journal bearing

Farmakopoulos

Nikolakopoulos

Papadopoulos

2012

Proceedings of the Institution of Mechanical Engineers, Part J:

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An active hydromagnetic journal bearing is designed and presented in this study, which is a new and innovative type of hybrid journal bearing. The proposed new mechatronic smart device has a common bearing shell that contains the two parts of the bearing, which is an attempt to combine the advantages of both types of bearings to overcome their drawbacks and give rise to new possibilities for instability control, increased load-carrying capacity, diagnostics of the rotor system, etc. The active hydromagnetic journal bearing should operate as either a hydrodynamic, active magnetic or hybrid journal bearing, depending on the needs of the rotating machinery. The hydrodynamic lubrication is developed in the inner bearing surface, and the electromagnets of the magnetic bearing are placed outside its outer surface. The active hydromagnetic journal bearing is designed with the appropriate clearance, so that both the hydrodynamic and magnetic bearings can operate. The suitable operational regions for the active hydromagnetic journal bearing are calculated and presented as a combination of the optimum ratio between the air gap and the clearance. Additionally, a simulation code using the two-dimensional finite element method (ANSYS) is developed to simulate the performance of the magnetic component of the active hydromagnetic journal bearing, and the ANSYS software is used to obtain a solution for the hydrodynamic pressure field. The dynamic characteristics of the hybrid journal bearing in terms of the stiffness and damping coefficients versus the Sommerfeld number are calculated and presented. In the hybrid bearing operation, the corresponding stiffness and damping coefficients are used to simulate the hydromagnetic bearing dynamic behaviour. Each hybrid coefficient consists of two parts; the hydrodynamic and the magnetic part. When the operation is purely hydrodynamic, the magnetic parts of the dynamic coefficients are zero and vice versa, whereas both parts are present in the hybrid operation mode.

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Section: Ahjb Geometrical and Operational Restrictionsmentioning

confidence: 99%

Design of an active hydromagnetic journal bearing

Farmakopoulos

Nikolakopoulos

Papadopoulos

2012

Proceedings of the Institution of Mechanical Engineers, Part J:

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“…15. The frictional losses are approximated using the approach (Hirani et al, 1999(Hirani et al, , 1997 that adopts the Mobility method (Booker, 1965) to analyze the dynamically loaded journal bearing. The harmonic combination of short and modified long bearing pressure expressions was employed to model the oil film pressure.…”

Section: Bearing Frictionmentioning

confidence: 99%

Design analysis of the novel Revolving Vane expander in a transcritical carbon dioxide refrigeration system

Subiantoro

Ooi

2010

International Journal of Refrigeration

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“…Previously, investigations had been done in this field by Hirani [4,5], Boedo [6] and Ghorbanian [7], but, nevertheless, significant opportunities remain to improve the optimization procedure, like introducing a faster and more precise performance function (validated) and using artificial intelligence tools for the minimization of the function. In [4], there are two objectives, non-dimensional and normalized.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], there are two objectives, non-dimensional and normalized. The technique adopted for the minimization is the Genetic Algorithm (GA, Non-SortedGenetic-Algorithm) while the performance function is the approximated solution proposed in [5]. In [6], GA technique is adopted to minimize power loss and mass flow (in this case the objective and the performance are the same function).…”

Section: Introductionmentioning

confidence: 99%

Geometrical Optimization of Hydrodynamic Journal Bearings with Validated Simulations and Artificial Intelligence Tools

Gorasso

Wang

Gorasso

2015

Proceedings of the 9th IFToMM International Conference on Rotor Dynamics

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The scope of this work is to mathematically optimize the choice of geometrical parameters of a hydrodynamic journal bearing to maximize its performance. Despite the fact that several works have investigated methods to predict the optimal shape of this family of sliding bearings, significant opportunities remain to improve the efficiency of the algorithm through the use of validated computational fluid dynamics and intelligent stochastic algorithms to find the function's maximum and minimum. This work presents a set of experiments carried out to validate simulations of fluid film bearings. These virtual models are used to determine the temperatures inside the bearing film. A series of objective functions were built and minimized in order to maximize the performance of the bearing and obtain the optimal combination of geometrical parameters for the design. The paper shows the capabilities of the algorithm to improve an existing journal bearing design as well as the validation data of the CFD simulations.

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Rapid performance evaluation of journal bearings

Cited by 50 publications

References 10 publications

Design of an active hydromagnetic journal bearing

Design of an active hydromagnetic journal bearing

Design analysis of the novel Revolving Vane expander in a transcritical carbon dioxide refrigeration system

Geometrical Optimization of Hydrodynamic Journal Bearings with Validated Simulations and Artificial Intelligence Tools

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