Journal ArticleDOI
Effect of misalignment on the dynamic characteristic of MEMS gas bearing considering rarefaction effect
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TLDR
In this article, the influence of misalignment on the dynamic coefficients of MEMS gas bearing is studied and the influence laws on 8 dynamic characteristic coefficients are discussed in detail, and the limit dynamic performances considering mis alignment and rarefaction effect are discussed.About:
This article is published in Tribology International.The article was published on 2019-11-01. It has received 22 citations till now. The article focuses on the topics: Rarefaction & Bearing (mechanical).read more
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Theoretical and experimental investigation on the influences of misalignment on the lubrication performances and lubrication regimes transition of water lubricated bearing
TL;DR: In this paper, a modified lubrication model considering the influences of journal misalignment is proposed in the theoretical model, and the influence of surface topography and thermal balance effects are incorporated in a theoretical model.
Attenuation of bearing transmitted noise. volume i. spring and damping coefficients for the tilting-pad journal bearing
TL;DR: In this article, a method for calculating spring and damping coefficients for the tilting pad journal bearing is presented, including the effect of pad inertia, and numerical results are given in form of design curves for the centrally pivoted 4 shoe, 5 shoe, 6 shoe and 12 shoe journal bearing.
Journal ArticleDOI
An overview and assessment on aerodynamic journal bearings with important findings and scope for explorations
TL;DR: A comprehensive literature review of the theoretical and experimental studies conducted on the performance behaviors of aerodynamic journal bearings (AJBs) is presented in this paper , where a summary of the review assessment and suggestions for research explorations in future have also been provided at the end.
Journal ArticleDOI
ReF-nets: Physics-informed neural network for Reynolds equation of gas bearing
TL;DR: Based on the deep learning method, the physical information of Reynolds equation is introduced into the neural network , and a deep learning network frame (ReF-nets) is built to predict the flow fields and aerodynamic characteristics of gas bearing as mentioned in this paper .
Journal ArticleDOI
Influence of Temperature Effect on the Static and Dynamic Performance of Gas-Lubricated Microbearings
TL;DR: FEM (finite element method) is employed to investigate the static, dynamic and limit characteristics of microbearings lubricated by different kinds of gas at different temperatures, and shows that the rise of temperature leads to the decline of equivalent viscosity of gas, which weakens the load capacity ofmicrobearings, and furthermore, affects the operating stability of micro bearings.
References
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Journal ArticleDOI
Analysis of Ultra-Thin Gas Film Lubrication Based on Linearized Boltzmann Equation: First Report—Derivation of a Generalized Lubrication Equation Including Thermal Creep Flow
Shigehisa Fukui,Reizo Kaneko +1 more
TL;DR: Analyse de la lubrification gazeuse dans le cas d'un film tres mince a l'aide de l'equation, linearisee de Boltzmann as discussed by the authors.
Journal ArticleDOI
A Database for Interpolation of Poiseuille Flow Rates for High Knudsen Number Lubrication Problems
Shigehisa Fukui,Reizo Kaneko +1 more
TL;DR: In this article, the use of a Poiseuille flow rate database for rapid calculation of a generalized lubrication equation for high Knudsen number gas films was proposed, based on numerical calculations based on the linearized Boltzmann equation.
Journal ArticleDOI
Spring and Damping Coefficients for the Tilting-Pad Journal Bearing
TL;DR: In this article, a method for calculating spring and damping coefficients for the tilting-pad journal bearing is presented, which includes the effect of pad inertia, and the parameter λ is used as an indicator of the compressibility effect of gas in bearing clearance.
Proceedings ArticleDOI
Micro-heat engines, gas turbines, and rocket engines -the mit microengine project-
Alan H. Epstein,Stephen D. Senturia,O. Al-Midani,G. Anathasuresh,Arturo A. Ayon,Kenneth S. Breuer,Kuo-Shen Chen,F. F. Ehrich,E. M. Esteve,Luc G. Fréchette,G. Gauba,Reza Ghodssi,C. Groshenry,Stuart A. Jacobson,Jack L. Kerrebrock,Jeffrey H. Lang,C. C. Lin,A. P. London,J. Lopata,A. Mehra,J. O.Mur Miranda,Steven F. Nagle,D. J. Orr,E. S. Piekos,Martin A. Schmidt,G. Shirley,S.M. Spearing,Chuan Seng Tan,Y. S. Tzeng,L. A. Waitz +29 more
TL;DR: The work in progress on microelectrical and mechanical systems (MEMS)-based gas turbine engines, turbogenerators, and rocket engines currently under development at MIT is described in this paper.