Performance potential of gas foil thrust bearings enhanced with spiral grooves

Guenat, Eliott; Schiffmann, Jürg

doi:10.1016/j.triboint.2018.11.003

Cited by 23 publications

(8 citation statements)

References 18 publications

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“…The elastic foil gas bearing is a self-acting dynamic pressure bearing taking gas as a lubricant, and the elastic foil has good adaptability [ 16 ]. When it works, the elastic foil can be adjusted according to the working environment and properties, thereby reducing the pressure fluctuation of the gas film [ 17 ]. The interaction force between the various parts of the foil support structure can consume the excess energy in the bearing, so that the bearing has better stability.…”

Section: Methodsmentioning

confidence: 99%

Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning

Sun

2020

PLoS ONE

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The hybrid electromagnetic and elastic foil gas bearing is explored based on the radial basis function (RBF) neural network in this study so as to improve its stabilization in work. The related principles and structure of hybrid electromagnetic and elastic foil gas bearings is introduced firstly. Then, the proportional, integral, and derivative (PID) bearing controller is introduced and improved into two controllers: IPD and CPID. The controllers and hybrid bearing system are controlled based on the RBF neural network based on deep learning. The characteristics of the hybrid bearing system are explored at the end of this study, and the control simulation research is developed based on the Simulink simulation platform. The effects of the PID, IPD, and CIPD controllers based on the RBF neural network are compared, and they are also compared based on the traditional particle swarm optimization (PSO). The results show that the thickness, spread angle, and rotation speed of the elastic foil have great impacts on the bearing system. The proposed CIPD bearing control method based on RBF neural network has the shortest response time and the best control effect. The controller parameter tuning optimization starts to converge after one generation, which is the fastest iteration. It proves that RBF neural network control based on deep learning has high feasibility in hybrid bearing system. Therefore, the results provide an important reference for the application of deep learning in rotating machinery.

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Section: Methodsmentioning

confidence: 99%

Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning

Sun

2020

PLoS ONE

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“…Through simulations and experiments, it was found that circumferential and axial PEGs significantly impact the load performance. Guenat and Schiffmann (2019) designed a spiral groove on the foil of gas foil thrust bearings to improve the bearing load capacity and reduce the resistance torque. Based on the gas-solid coupling principle.…”

Section: Introductionmentioning

confidence: 99%

Influence of Pressure-Equalizing Groove on Static Load Performance of Aerostatic Guideway

2023

JAFM

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The load capacity and static stiffness of the existing air hydrostatic guideways are relatively low, and the static performance of the air film is degraded when external forces are increased during the process. Therefore, this study considered an aerostatic guideway of an ultra-precision micromachine tool as the research object. Single- and double-row orifice structures were designed on the guideway, and linear, extended, and X-shaped pressure-equalizing groove (PEG) structures with rectangular cross-sections were designed on the working surface of the guideway. By establishing a computational fluid dynamics model of the guideway air film, the pressure contour was obtained through simulation, and finally, the advantages of the double-row orifice structure were determined. Then, the influences of the structure, width, and depth of PEG and the diameter and number of orifices on the load capacity, stiffness, and air consumption were studied, which provided a theoretical basis for improving the load performance of the aerostatic guideway. The results showed that the design of the PEG effectively improved the load performance but increased the air consumption. The extended PEG exhibited the best load performance. When the eccentricity was large, the width of the PEG moderately increased, improving the load capacity and stiffness. While increasing the depth only improved the stiffness, it had little effect on the load capacity and air consumption. When the eccentricity was small, the diameter and number of orifices moderately increased. The experimental data were consistent with the simulation results, demonstrating the accuracy of the simulation method.

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“…Based on the above advantages, the load‐carrying capacity of gas foil thrust bearings was enhanced. This research group also investigated the improvement potential of spiral grooves manufactured on the top foil and studied the thrust load for this bearing 17 . Heshmat et al 18 numerously calculated the thrust load by applying Coupled Finite Element and Finite Difference Methods for the GFTB, which made the thrust load to be calculated more accurately.…”

Section: Introductionmentioning

confidence: 99%

Performance investigation and feasibility study of novel gas foil thrust bearing for hydrogen fuel cell vehicles

Shi

Huang

Chen

et al. 2022

Intl J of Energy Research

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Summary Centrifugal air compressors are promising due to their zero emissions, long driving range, and wide fuel sources. The gas foil thrust bearing (GFTB) is considered as one of the key components in the centrifugal air compressor to guarantee the system is oil‐free and reliable due to there is self‐acting and high speed. However, the gas foil thrust bearings were all of lower capacity in previous research. In this study, the effects of each foil and nominal clearance on the static performance are developed experimentally. The optimal GFTB with higher capacity is obtained. The feasibility study of the proposed GFTB is carried out, which is installed on the ultra‐high‐speed centrifugal air compressor. The result shows that the proposed GFTB can run stably and efficiently in the full speed ring, and the high‐pressure ratio and large flow rate of the air compressor also can be ensured. The results play an important role in guiding the stable operation of centrifugal air compressors applied in hydrogen fuel cell vehicles (HFCVs).

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Performance potential of gas foil thrust bearings enhanced with spiral grooves

Cited by 23 publications

References 18 publications

Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning

Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning

Influence of Pressure-Equalizing Groove on Static Load Performance of Aerostatic Guideway

Performance investigation and feasibility study of novel gas foil thrust bearing for hydrogen fuel cell vehicles

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