Issue |
MATEC Web of Conferences
Volume 40, 2016
2015 International Conference on Mechanical Engineering and Electrical Systems (ICMES 2015)
|
|
---|---|---|
Article Number | 02017 | |
Number of page(s) | 5 | |
Section | Mechanical engineering and dynamics | |
DOI | https://doi.org/10.1051/matecconf/20164002017 | |
Published online | 29 January 2016 |
Parameter Identification on Lumped Parameters of the Hydraulic Engine Mount Model
Hohai university in Changzhou, China
Hydraulic Engine Mounts (HEM) are important vibration isolation components with compound structure in the vehicle powertrain mounting system. They have the characteristic that large damping and high dynamic stiffness in the high frequency region, and small damping and low dynamic stiffness in the low frequency region, which can meet the requirements of the vehicle powertrain mounting system better. The method to identify the lumped parameters of the HEM is not only the necessary work for the analysis and calculation in dynamic performance and can also provide the theory for the performance optimization and structure optimization of product in the future. The parameter identification method based on coupled fluid-structure interaction (FSI) and finite element analysis (FEA) was established in this study to identify the equivalent piston area of the rubber spring, the volume stiffness of the upper chamber, as well as the inertia coefficient and damping coefficient of the liquid through the inertia track. The simulated dynamic characteristic curves of the HEM with the parameters identified are in accordance with the measured dynamic characteristic curves well.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.