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| Optimizing cross-sectional shape of subway wheel to decrease vibration and noise |
| Received:August 08, 2008 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20093015 |
| KeyWord:subway wheel FEM optimal design Genetic Algorithms vibration noise |
| Author | Institution |
| 柳拥军 |
北京交通大学 机械与电子控制工程学院,北京 |
| 刘晓芳 |
北京交通大学 机械与电子控制工程学院,北京 |
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| Abstract: |
| In this paper, with the purpose of reducing wheel rail contact noise emitted from subway vehicle travel, the Structural Dynamic Optimum Design theory was introduced to the Cross-sectional shape design of Subway wheel. A mathematical model was established and an effective algorithm was compiled as well. The objective of the optimization method was to find a design of the selected railway wheel, which without the use of damping or tuning devices, emits less vibration noise compared to the original design. The optimization method used, was based on Genetic Algorithms (GAs). GAs are a robust optimization method that performs regardless of the optimization problem. A FEM model of the wheel was employed, and ANSYS was utilized running in batch mode for the calculation of the objective function values of the population of each generation. Taken the wheel of a subway car as an example, geometric parameters of wheel Cross-sectional shape were taken as the design variables, while the minimal noises emitted from wheel structural vibration was considered as the objective function. The optimal geometric parameter of wheel Cross-sectional shape in feasible field was presented. The results showed that this optimal design method is successful, which can reduce noises emitted from wheel vibration to a great extent. |
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