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| Neural network modeling for the drop impact dynamics of fluid-filled container |
| Received:May 15, 2008 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20103010 |
| KeyWord:fluid-filled container drop impact ALE algorithm FEM ANN |
| Author | Institution |
| 杨书仪 |
湖南科技大学 机电工程学院,湘潭;中国矿业大学,徐州 |
| 刘德顺 |
湖南科技大学 机电工程学院,湘潭 |
| 赵继云 |
中国矿业大学,徐州 |
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| Abstract: |
| Mapping relations of fluid-filled container structure parameter, drop impact parameter and contact point stress are set up based on the finite element method(FEM)and artificial neural network(ANN). Drop impact process of different drop angle, drop height, container thickness are simulated with the Arbitrary Lagrange-Euler (ALE) algorithm in order to obtain training swatch for the ANN. The BP ANN prediction model is established. The difference is less of the prediction values with the ANN and the simulation datum with the FEM. This indicates that the method is effective and may provide theory gist of preferences in production process. |
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