Navigating the Dynamics of Squeeze Film Dampers: Unraveling Stiffness and Damping Using a Dual Lens of Reynolds Equation and Neural Network Models for Sensitivity Analysis and Predictive Insights

Navigating the Dynamics of Squeeze Film Dampers: Unraveling Stiffness and Damping Using a Dual Lens of Reynolds Equation and Neural Network Models for Sensitivity Analysis and Predictive Insights

The squeeze film damper (SFD) is proven to be highly effective in mitigating rotor vibration as it traverses the critical speed, thus making it extensively utilized in the aeroengine domain. In this paper, we investigate the stiffness and damping of SFD using the Reynolds equation and neural network...

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Bibliographic Details
Main Authors: Haobo Wang, Yulai Zhao, Tongguang Yang, Zhong Luo, Qingkai Han
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
SFD
oil film pressure distribution
stiffness
damping
neural network model
Online Access:https://www.mdpi.com/2227-7390/12/5/771

Internet

https://www.mdpi.com/2227-7390/12/5/771

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