| URN | etd-0717123-131659 | Statistics | This thesis had been viewed 97 times. Download 5 times. |
| Author | Jun-Ting Lin | ||
| Author's Email Address | juntinglin627@gmail.com | ||
| Department | Institute Of Mechanical Engineering | ||
| Year | 2022 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 57 |
| Title | Finite Element Analysis and Optimum Design of Aluminum Wheels for Electric Scooters | ||
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| Abstract | Nowadays, as electric scooters getting more popular, the safety and efficiency of the vehicles have become important research topics. To improve the efficiency of the electric scooters, their parts are redesigned to reduce the weight and the wheels are often chosen as the subjects for weight reduction resign. Based on a commercially available aluminum wheel for an electric scooter, this research utilized a 3D scan technology to acquire a set of precise dimensions of the wheel, employed Creo Parametric software to build solid models, and used Ansys Workbench to perform finite element analysis and structural optimization on the wheel. Convergence analysis was first conducted to yield a reduced model with appropriate element sizes and finite element grids for later use in optimization processes. Subsequently, wheel mass minimizations were investigated. The wheel mass was set as the objective function, the upper limit of the maximum equivalent stress and the lower limit of the first natural frequency of the model were selected as the design constraints and based on these constraints, three types of optimum design problems were defined. Three different optimization algorithms were employed and the results show that the mass of the aluminum wheel was reduced to 3.2363 kg, 3.2584 kg and 3.2582 kg, respectively, for the three types of optimum design problems, a significant improvement for all three. |
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| Files | indicate access worldwide | ||
| Date of Defense | 2023-07-05 | Date of Submission | 2023-07-17 |