A CFD-Based Frequency Response Method Applied in the Determination of Dynamic Coefficients of Hydrodynamic Bearings. Part 1: Theory

Snyder, Troy; Braun, M. J.

doi:10.3390/lubricants7030023

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…Although Dousti et al [20] developed the extended Reynolds equation incorporating inertia effects, computational fluid dynamics (CFD) methods demonstrate greater efficacy in handling intricate flow physics, including inertia effects, 3D complexities, and multiphase flows. CFD methods exhibit reduced reliance on empiricism and model tuning compared to the extended Reynolds equation [21,22]. Nassab and Moayer [23] established a CFD-THD (thermohydrodynamic) lubrication model for journal bearings and found that the inertia effect would have a significant influence on the dynamic pressure lubrication of journal bearings under light loads, high speeds, and large clearances [24].…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of the Rotor-Journal Bearing System Considering Shear and Gaseous Cavitation

Sun,

Shi,

Jiang

et al. 2024

Lubricants

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Part of the gas phase within the bearing emanates from the gaseous lubricating medium generated by the phase transition of the liquid lubricant under low pressure, while the remaining portion originates from the expansion of gases, such as air, present in the lubricant. This study delves into the impact of vapor and gas cavitation on the stability of the rotor-journal bearing system. Utilizing computational fluid dynamics (CFD), a 3D transient lubrication model is developed for the rotor-journal bearing system. This model integrates a combined cavitation approach, encompassing both vaporous and gaseous cavitation phenomena. Based on a new structured dynamic mesh method, the journal orbits are obtained when the journal moves in the rotor-journal bearing system. In vaporous and gaseous cavitation, shear stress and non-condensable gases (NCG) are incorporated successively. Compared with the combined cavitation model, the basic cavitation model journal orbit amplitude is significantly larger than the combined cavitation model. The carrying capacity of journal bearings under the basic cavitation model is overestimated, leading to a more conservative prediction for system stability.

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Section: Introductionmentioning

confidence: 99%

Stability Analysis of the Rotor-Journal Bearing System Considering Shear and Gaseous Cavitation

Sun,

Shi,

Jiang

et al. 2024

Lubricants

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“…As reviewed by Dousti et al (2016), extending the classical Reynolds equations to including the inertia effect has attracted great interest in the research community. However, the CFD method more easily accommodates complex flow physics with less empiricism and model tuning (Snyder and Braun, 2018;Snyder and Braun, 2019) comparing to the extended Reynolds equation. Zhang et al (2015) provided a steady state CFD method for determining the stiffness coefficients and a simplified hydrodynamic force model can be obtained.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear dynamic analysis of multiple grooved water-lubricated journal bearings using attenuation rate interpolation method

Liu

Wang

et al. 2021

ILT

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Purpose The stringent requirements for environmental protection have induced the extensive applications of water-lubricated journal bearings in marine propulsion. The nonlinear dynamic analysis of multiple grooved water-lubricated bearings (MGWJBs) has not been fully covered so far in the literature. This study aims to conduct the nonlinear dynamic analysis of the instability for MGWJBs. Design/methodology/approach An attenuation rate interpolation method is proposed for the determination of the critical instability speed. Based on a structured mesh movement algorithm, the transient hydrodynamic force model of MGWJBs is set up. Furthermore, the parameters’ analysis of nonlinear instability for MGWJBs is conducted. The minimum water film thickness, side leakage, friction torque and power loss of friction are fully analyzed. Findings With the increase of speed, the journal orbits come across the steady state equilibrium motion, sub-harmonic motion and limit circle motion successively. At the limit circle motion stage, the orbits are much larger than that of steady state equilibrium and sub-harmonic motion. The critical instability speed increases when the spiral angle decreases or the groove angle increases. The minimum water film thickness peak is at the rotor speed of 4,000 r/min for the MGWJB with Sa = 0°. As rotor speed increases, the side leakage decreases slightly while the friction torque and the power loss of friction increase gradually. Originality/value Present research provides a beneficial reference for the dynamic mechanism analysis and design of MGWJBs.

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“…The fluid simulation aims to study the flow of fluid materials and has been widely applied to multiple disciplines such as chemical physics and material science [1][2][3]. However, the simulation of fluid dynamics usually requires prohibitively high computational resources [4,5] and thus limits its application in the related fields.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural network-based approximation to accelerate eulerian fluid simulation

Dong

Liu

Xie

et al. 2019

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

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The Eulerian fluid simulation is an important HPC application. The neural network has been applied to accelerate it. The current methods that accelerate the fluid simulation with neural networks lack flexibility and generalization. In this paper, we tackle the above limitation and aim to enhance the applicability of neural networks in the Eulerian fluid simulation. We introduce Smart-fluidnet, a framework that automates model generation and application. Given an existing neural network as input, Smart-fluidnet generates multiple neural networks before the simulation to meet the execution time and simulation quality requirement. During the simulation, Smartfluidnet dynamically switches the neural networks to make best efforts to reach the user's requirement on simulation quality. Evaluating with 20,480 input problems, we show that Smart-fluidnet achieves 1.46x and 590x speedup comparing with a state-of-the-art neural network model and the original fluid simulation respectively on an NVIDIA Titan X Pascal GPU, while providing better simulation quality than the state-of-the-art model. CCS CONCEPTS • Computing methodologies → Parallel algorithms; Neural networks; Model development and analysis.

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A CFD-Based Frequency Response Method Applied in the Determination of Dynamic Coefficients of Hydrodynamic Bearings. Part 1: Theory

Cited by 7 publications

References 34 publications

Stability Analysis of the Rotor-Journal Bearing System Considering Shear and Gaseous Cavitation

Stability Analysis of the Rotor-Journal Bearing System Considering Shear and Gaseous Cavitation

Nonlinear dynamic analysis of multiple grooved water-lubricated journal bearings using attenuation rate interpolation method

Adaptive neural network-based approximation to accelerate eulerian fluid simulation

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