| 基于数值模拟的TRIP钢板汽车覆盖件成形研究 |
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| 引用本文： | 赵仕宇,詹艳然.基于数值模拟的TRIP钢板汽车覆盖件成形研究[J].中国工程机械学报,2011,9(3):319-324. |
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| 作者姓名： | 赵仕宇 詹艳然 |
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| 作者单位： | 1. 宁德职业技术学院机电工程系,福建福安,355000
2. 福州大学机械工程及自动化学院,福建福州,350108 |
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| 基金项目： | 福建省自然科学基金资助项目（2008J0153） |
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| 摘 要： | 对使用新型高强度相变诱发塑性钢(TRIP)钢板拉伸成形的汽车发动机罩内板进行研究,采用BP(BackPropagation)神经网络建立内板成形工艺参数与成形质量之间的非线性映射关系,使用多目标遗传算法NSGA-II获得成形最优工艺参数,并利用有限元数值模拟进行验证.研究发现,神经网络结合多目标遗传算法可以获得最优成形工艺参数,使用TRIP钢板生产大型汽车覆盖件是可行的.
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| 关 键 词： | 高强度相变诱发塑性钢板 反向传播神经网络 多目标遗传算法 |
Numerical-simulation-based cover panel forming for TRIP steel plates cars |
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| ZHAO Shi-yu,ZHAN Yan-ran.Numerical-simulation-based cover panel forming for TRIP steel plates cars[J].Chinese Journal of Construction Machinery,2011,9(3):319-324. |
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| Authors: | ZHAO Shi-yu ZHAN Yan-ran |
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| Affiliation: | 1.Department of Mechatronics,Ningde Vocational and Technical College,Fuan 355000,China;2.School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou 350108,China) |
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| Abstract: | In the forming process for a car＇s inner hood made of a new type of high-strength steel,i.e.TRIP,the nonlinear mapping between forming process parameters and qualities is first established via BP neural network.Then,the optimal process parameters are obtained based on a multi-objective genetic algorithm,i.e.NSGA-II.Next,the finite element numerical simulation is applied for verification.Finally,it is found that the optimal process parameters can be acquired by integrating aforementioned techniques.As such,this approach is proven feasible to form large car cover panels using TRIP. |
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| Keywords: | transformation-induced plasticity steel-plate back propagation neural network multi-objective genetic algorithm |
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