Discharge Coefficients in Aerostatic Bearings With Inherent Orifice-Type Restrictors

被引:20
作者
Chang, S. H. [1 ]
Chan, C. W. [1 ]
Jeng, Y. R. [1 ]
机构
[1] Natl Chung Cheng Univ, Adv Inst Mfg High Tech Innovat, Dept Mech Engn, Ming Hsiung 621, Chiayi County, Taiwan
来源
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME | 2015年 / 137卷 / 01期
关键词
aerostatic bearing; orifice-type restrictor; discharge coefficient; artificial neural networks; THRUST BEARING; PERFORMANCE;
D O I
10.1115/1.4028737
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In aerostatic bearing analysis, determining film pressure by solving the Reynolds equation in a numerical model is more effective than conducting bearing experiments or performing computational fluid dynamics (CFD) simulations. However, the discharge coefficient of an orifice-type restrictor is generally a given number that dominates model accuracy. This study investigated the influence of geometry and flow parameters on this discharge coefficient. The results indicate that this discharge coefficient is sensitive to the orifice diameter and film thickness and that the effects of the supply pressure, bearing radius, supply orifice length, supply passage diameter, conicity depth, and conicity angle can be disregarded. This study also built a surrogate model of this discharge coefficient based on the orifice diameter and film thickness by using artificial neural networks (ANNs).
引用
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页数:7
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