A two-stage multiobjective optimization algorithm for porous air bearing design

Wang, Nenzi; Chen, Hsin‐Yi

doi:10.1016/j.triboint.2015.09.045

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…It is necessary to test the static characteristics of bearings in atmospheric pressure and a vacuum environment to verify the accuracy of simulation results. The experimental apparatus for the static characteristics of the bearing in an atmospheric pressure environment is shown in Figure 5, consisting mainly of an air pump (1), LION PRECISION CPL592 non-contact capacitive displacement sensor is sourced from Lion, Dayton, OH, USA, (2), table stand (3), NS-WL1 force sensor is sourced from Tianmu, Shanghai, China (4), bracket (5), linear guide rod (6), weights (7), computer (8), data acquisition processing system (9), granite platform (10), SMC PFM711 flow meter is sourced from Gantuo, Shanghai, China (11), test bearing (12), pressure gauge (13), power supply (14), valve (15), etc. The entire test apparatus is leveled and placed on a vibration isolation platform.…”

Section: Experimental Apparatusmentioning

confidence: 99%

“…To test the static characteristics of aerostatic bearings under different air supply pressures and loads in a vacuum environment, a test platform was constructed, as shown in Figure 6. The test platform mainly consists of a measuring platform (1), a cushion block (2), a bearing to be tested (3), a weight (4), a gauge frame (5), a dial gauge (6), a vacuum tank (7), a ZJ51-T resistance gauge is sourced from Rui Bao Technology, Chengdu, China (8), a data acquisition and processing system (9), a vacuum pump (10), a computer (11), an air pump (12), a valve (13), a pressure gauge (14), and a flow meter (15). The air generated by the air pump is filtered and then connected to the supply orifice of the bearing to be tested through the pressure regulating valve, pressure gauge, flow meter, and micro-orifice restrictor.…”

Section: Experimental Apparatusmentioning

confidence: 99%

“…Yifei et al [13] established mathematical models for stiffness and dynamic stability, conducted optimization calculations under different load conditions, and verified the optimization results. Hsin et al [14] utilized the two-stage grid-interpolated fitting (GIF) method for bearing optimization design, obtaining a larger Pareto front distribution with reduced computational effort. Zhang et al [15] studied the application of machine learning with neural networks and genetic algorithms in multi-objective optimization of heat exchangers, developing prediction models for heat transfer coefficients and pressure drops.…”

Section: Introductionmentioning

confidence: 99%

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Research on Design and Optimization of Micro-Hole Aerostatic Bearing in Vacuum Environment

Fan,

Li,

et al. 2024

Lubricants

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Micro-hole aerostatic bearings are important components in micro-low-gravity simulation of aerospace equipment, and the accuracy of micro-low-gravity simulation tests is affected by them. In order to eliminate the influence of air resistance on the attitude control accuracy of remote sensing satellites and achieve high fidelity of micro-low-gravity simulation tests, in this study, a design and parameter optimization method was proposed for micro-hole aerostatic bearings for a vacuum environment. Firstly, the theoretical analysis was conducted to investigate the impact of various bearing parameters and external conditions on the bearing load capacity and mass flow. Subsequently, a function model describing the variation in bearing load capacity and mass flow with bearing parameters was obtained utilizing a BP neural network. The parameters of aerostatic bearings in a vacuum environment were optimized using the non-dominated sorting genetic algorithm (NSGA-II) with the objectives of maximizing the load capacity and minimizing the mass flow. Subsequently, experimental tests were conducted on the optimized bearings in both atmospheric and vacuum conditions to evaluate their load capacity and mass flow. The results show that in a vacuum environment, the load capacity and mass flow of aerostatic bearings are increased compared to those in standard atmospheric conditions. Furthermore, it has been determined that the optimal solution for the bearing’s load capacity and mass flow occurs when the bearing has an orifice aperture of 0.1 mm, 36 holes, and an orifice distribution diameter of 38.83 mm. The corresponding load capacity and mass flow are 460.644 N and 11.816 L/min, respectively. The experimental and simulated errors are within 10%; thus, the accuracy of the simulation is verified.

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Section: Experimental Apparatusmentioning

confidence: 99%

Section: Experimental Apparatusmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on Design and Optimization of Micro-Hole Aerostatic Bearing in Vacuum Environment

Fan,

Li,

et al. 2024

Lubricants

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“…Based on the types of restrictor, the aerostatic bearings can be classified as conventional orifice‐restricted aerostatic bearings and porous gas bearings 2,3 . Comparing with conventional orifice‐restricted aerostatic bearings, porous gas bearings are widely investigated because of their advantages of simple design, pressurised gas that is uniformly distributed into the bearing clearance and high load capacity 4,5 …”

Section: Introductionmentioning

confidence: 99%

“…2,3 Comparing with conventional orificerestricted aerostatic bearings, porous gas bearings are widely investigated because of their advantages of simple design, pressurised gas that is uniformly distributed into the bearing clearance and high load capacity. 4,5 Early investigations on porous gas bearings were mainly focused on the bearing performance with neglecting the influence of shaft rotation. [6][7][8] However, with the increasing in rotational speed, the aerodynamic effect in the gas film clearance becomes highly significant.…”

Section: Introductionmentioning

confidence: 99%

Numerical and experimental investigation on the performance of hybrid porous gas journal bearings

Wang

Zhao

et al. 2020

Lubrication Science

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As the progress of the high-speed performance requirement for porous gas journal bearings continuing, the aerodynamic effect, which plays a key role in the state of lubrication, causes the porous gas journal bearings being gradually to be used as hybrid bearings. This paper firstly presents a theoretical analysis on the lubrication mechanism of the hybrid bearings. The gas flow in the porous and clearance is modelled by using the mass continuity equation. Two

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Investigation into gas lubrication performance of porous gas bearing considering velocity slip boundary condition

Zhang

Ding

et al. 2021

Friction

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Porous gas bearings (PGBs) have a proactive application in aerospace and turbomachinery. This study investigates the gas lubrication performance of a PGB with the condition of velocity slip boundary (VSB) owing to the high Knudsen number in the gas film. The Darcy-Forchheimer laws and modified Navier-Stokes equations were adopted to describe the gas flow in the porous layer and gas film region, respectively. An improved bearing experimental platform was established to verify the accuracy of the derived theory and the reliability of the numerical analysis. The effects of various parameters on the pressure distribution, flow cycle, load capacity, mass flow rate, and velocity profile are demonstrated and discussed. The results show that the gas can flow in both directions, from the porous layer to the gas film region, or in reverse. The load capacity of the PGB increases with an increase in speed and inlet pressure and decreases with an increase in permeability. The mass flow rate increases as the inlet pressure and permeability increase. Furthermore, the simulation results using VSB are in agreement with the experimental results, with an average error of 3.4%, which indicates that the model using VSB achieves a high accuracy. The simulation results ignoring the VSB overrate the load capacity by 16.42% and undervalue the mass flow rate by 11.29%. This study may aid in understanding the gas lubrication mechanism in PGBs and the development of novel gas lubricants.

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A two-stage multiobjective optimization algorithm for porous air bearing design

Cited by 8 publications

References 13 publications

Research on Design and Optimization of Micro-Hole Aerostatic Bearing in Vacuum Environment

Research on Design and Optimization of Micro-Hole Aerostatic Bearing in Vacuum Environment

Numerical and experimental investigation on the performance of hybrid porous gas journal bearings

Investigation into gas lubrication performance of porous gas bearing considering velocity slip boundary condition

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