| 基于遗传算法和神经网络技术的板料拉深成形参数优化 |
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| 引用本文： | 潘江峰,钟约先,袁朝龙. 基于遗传算法和神经网络技术的板料拉深成形参数优化[J]. 锻压技术, 2006, 31(6): 44-46 |
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| 作者姓名： | 潘江峰 钟约先 袁朝龙 |
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| 作者单位： | 清华大学,先进成形制造教育部重点实验室,北京,100084 |
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| 摘 要： | 结合数值模拟和人工神经网络技术．建立了板料拉深成形的加工参数（压边力和冲压速度）与其成形质量之间的映射关系，既保证了精度，又减少了数值模拟次数。在神经网络建模的基础上，利用遗传算法对板料拉深成形的加工参数进行了优化，通过实例可以看出，该方法具有较好的优化结果。
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| 关 键 词： | 遗传算法 神经网络 压边力 冲压速度 |
| 文章编号： | 1000-3940（2006）06-0044-03 |
| 收稿时间： | 2006-02-21 |
| 修稿时间： | 2006-02-21 |
Process parameters optimization of sheet metal forming in drawing process based on the technology of genetic algorithm and artificial neural network |
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| PAN Jiang-feng,ZHONG Yue-xian,YUAN Chao-long. Process parameters optimization of sheet metal forming in drawing process based on the technology of genetic algorithm and artificial neural network[J]. Forging & Stamping Technology, 2006, 31(6): 44-46 |
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| Authors: | PAN Jiang-feng ZHONG Yue-xian YUAN Chao-long |
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| Affiliation: | Key Lab for AMMPT, Ministry of education, Tsinghua University, Beijing 100084, China |
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| Abstract: | Based on the combining of numerical simulation and artifidal neural network, the mapping relations of process parameters and sheet metal forming quality in drawing process are established. It has enough precision and less times of numerical simulation. Based on the artificial neural network model, several process parameters of sheet metal forming in drawing process are optimized using genetic algorithm. The test results show that the algorithm has a good optimization effect. |
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| Keywords: | genetic algorithm artificial neural network blank-holding force drawing velocity |
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