Analysis of dynamic characteristics and stability prediction of gas bearings
Abstract
Purpose
The prediction model to estimate the stability of a rotor-bearing system is established, which can predict the stability of gas bearings by applying Routh–Hurwitz stability criterion. This paper aims to provide the theoretical foundation for controlling actively the bearing running stiffness and damping and stemming the instability of a gas film.
Design/methodology/approach
The nonlinear dynamic lubrication analysis mathematical model of spherical hybrid gas bearings is established. Perturbation control equation is derived by the partial derivative method. The finite difference method is used to discrete the perturbation control equation in generalized coordinate system, and the difference expression of perturbation pressure is derived. The relational expression which involves the relationship between the dynamic characteristic coefficients of HSGHGB systems and perturbation pressure is deduced. So, the transient perturbation pressure distribution of a three-dimensional micro gas film, nonlinear gas film force, dynamic stiffness and dynamic damping coefficients of bearings are numerically computed using VC++6.0 programs.
Findings
The results show that the influence of supply pressure, speed and eccentricity on the dynamic characteristics of bearings is significant.
Originality/value
The influence law of supply pressure, speed and eccentricity ratio on the dynamic stiffness and damping coefficients of HSGHGB systems is researched. The prediction model to estimate the stability of rotor-bearing system is established, which can predict the stability of gas bearings by applying the Routh–Hurwitz stability criterion.
Keywords
Acknowledgements
This work is supported by National Natural Science Foundation of China (Grant no: 51475142), Program for Innovative Research Team (in Science and Technology) in University of Henan Province (Grant no: 13IRTSTHN025) and the Education Department Henan Province Science and Technology Research Projects (Grant no: 13A460251).
Citation
Jia, C., Pang, H., Ma, W. and Qiu, M. (2017), "Analysis of dynamic characteristics and stability prediction of gas bearings", Industrial Lubrication and Tribology, Vol. 69 No. 2, pp. 123-130. https://doi.org/10.1108/ILT-09-2015-0134
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited