Constraint Condition Study of Automobile Front Side Glass Vibration
Yinzhi He, Yue Lv, Zihao Shi, Zhigang Yang
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.73How to use a DOI?
- Equivalent principle, Front side window glass, Matlab-Abaqus co-simulation
- In order to study the vibration response of automobile front side window glass at high speed, its constraint condition must be determined at first. However, it is difficult to establish the boundary constraint model of the window system due to the complicated mechanical properties and the irregular shape of the side window glass seal. In this paper, a front left side window of a sedan was taken as a model. An equivalent discrete model of side window glass seal was established based on equivalent principle, by which the window seal is equivalent to series of spring constraint. Then the Matlab-Abaqus co-simulation optimization platform was set up and Python language scripts was used to make secondary development of Abaqus software. The natural frequencies of the side window glass obtained by the modal test are taken as the objective function. By fitting the stiffness of the springs, the most suitable constraint condition of the side window glass for the actual situation was obtained. Through comparing the results with simulation and experiment, the first four natural frequencies and mode shapes of the side glass are in good agreement, which verifies the effectiveness of the glass seal system discretization model by equivalent springs.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yinzhi He AU - Yue Lv AU - Zihao Shi AU - Zhigang Yang PY - 2017/03 DA - 2017/03 TI - Constraint Condition Study of Automobile Front Side Glass Vibration BT - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016) PB - Atlantis Press SP - 475 EP - 481 SN - 2352-5401 UR - https://doi.org/10.2991/ifmca-16.2017.73 DO - https://doi.org/10.2991/ifmca-16.2017.73 ID - He2017/03 ER -