| URN | etd-0727120-171349 | Statistics | This thesis had been viewed 162 times. Download 0 times. |
| Author | Wei-cheng Chu | ||
| Author's Email Address | nbases0960@yahoo.com.tw | ||
| Department | Institute Of Mechanical Engineering | ||
| Year | 2019 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 64 |
| Title | Simulation Analysis, Modal Experiment and Model Verification of Motor Wheel Rims | ||
| Keyword | |||
| Abstract | Abstract With the influence of the gradual popularization of new energy vehicles, the future trend will gradually move to the hybrid mode of electric power or even pure batteries. The various parts of the car will gradually change to environmentally friendly and lighter weight materials, while maintaining strength how to make objects lighter is the research direction of researchers. Through simulation analysis and percussion experiments, after obtaining accurate materials and models, changing materials or changing models can reduce the time for designers to analyze and improve. Design and analyze effectively. In this paper, the GOGORO rim of the electric locomotive is used for analysis. The size of the object is obtained through physical measurement. After the model is established, the finite element analysis software ANSYS Workbench is used for simulation analysis to obtain the modal vibration mode and natural frequency. The sound and vibration module M+P analyzer performs a knocking test to obtain the frequency response function and modal vibration mode, and then compare the two, and adjust the material parameters in the simulation analysis through optimization to obtain accurate and reference The model and material parameters enable subsequent researchers to quickly develop through this model or material parameter. In this experiment, the model after the optimization of parameter adjustment has a frequency and vibration shape that are very similar to the results of the knock test, which can indeed help developers reduce the development time. |
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| Files | indicate in-campus access immediately and off-campus access at 5 years | ||
| Date of Defense | 2020-07-24 | Date of Submission | 2020-07-28 |