Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing

In this study, the sensitivity of MEMS gas bearing’ performance to the wear in different axial and circumferential positions is investigated in detail. Rarefaction effect is introduced into the transient and steady lubrication equation, and then the finite element method (FEM) is employed...

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Main Authors:	Liangliang Li, Di Zhang, Yonghui Xie
Format:	Article
Language:	English
Published:	MDPI AG 2019-10-01
Series:	Applied Sciences
Subjects:	mems gas bearing wear sensitivity probability rarefaction effect
Online Access:	https://www.mdpi.com/2076-3417/9/20/4409

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spelling	doaj-cae47b71182a4c0487c520596fc6210a2020-11-25T01:14:08ZengMDPI AGApplied Sciences2076-34172019-10-01920440910.3390/app9204409app9204409Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas BearingLiangliang Li0Di Zhang1Yonghui Xie2Shaanxi Engineering Laboratory of Turbomachinery and Power Equipment, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaMOE Key Laboratory of Thermo-Fluid Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaShaanxi Engineering Laboratory of Turbomachinery and Power Equipment, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaIn this study, the sensitivity of MEMS gas bearing’ performance to the wear in different axial and circumferential positions is investigated in detail. Rarefaction effect is introduced into the transient and steady lubrication equation, and then the finite element method (FEM) is employed to solve the equations. The stochastic process is adopted to simulate wear distribution and view of probability is proposed to describe the change laws of the static and dynamic performance of the bearing. Then, the static and dynamic characteristics of the bearing in 50 wear conditions are calculated for each case. Furthermore, the standard deviations and correlation coefficients of the bearing performance sample points are analyzed to demonstrate the influence degree of wear in different positions.https://www.mdpi.com/2076-3417/9/20/4409mems gas bearingwearsensitivityprobabilityrarefaction effect
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Liangliang Li Di Zhang Yonghui Xie
spellingShingle	Liangliang Li Di Zhang Yonghui Xie Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing Applied Sciences mems gas bearing wear sensitivity probability rarefaction effect
author_facet	Liangliang Li Di Zhang Yonghui Xie
author_sort	Liangliang Li
title	Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing
title_short	Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing
title_full	Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing
title_fullStr	Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing
title_full_unstemmed	Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing
title_sort	probabilistic sensitivity analysis of wear property for mems gas bearing
publisher	MDPI AG
series	Applied Sciences
issn	2076-3417
publishDate	2019-10-01
description	In this study, the sensitivity of MEMS gas bearing’ performance to the wear in different axial and circumferential positions is investigated in detail. Rarefaction effect is introduced into the transient and steady lubrication equation, and then the finite element method (FEM) is employed to solve the equations. The stochastic process is adopted to simulate wear distribution and view of probability is proposed to describe the change laws of the static and dynamic performance of the bearing. Then, the static and dynamic characteristics of the bearing in 50 wear conditions are calculated for each case. Furthermore, the standard deviations and correlation coefficients of the bearing performance sample points are analyzed to demonstrate the influence degree of wear in different positions.
topic	mems gas bearing wear sensitivity probability rarefaction effect
url	https://www.mdpi.com/2076-3417/9/20/4409
work_keys_str_mv	AT liangliangli probabilisticsensitivityanalysisofwearpropertyformemsgasbearing AT dizhang probabilisticsensitivityanalysisofwearpropertyformemsgasbearing AT yonghuixie probabilisticsensitivityanalysisofwearpropertyformemsgasbearing
_version_	1725158642798297088

Probabilistic Sensitivity Analysis of Wear Property for MEMS Gas Bearing

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