| 基于BP神经网络的铝合金板料弯曲回弹控制研究 |
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| 引用本文： | 韩雄伟,李欣星,陈祖红.基于BP神经网络的铝合金板料弯曲回弹控制研究[J].模具工业,2011(9):22-26. |
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| 作者姓名： | 韩雄伟 李欣星 陈祖红 |
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| 作者单位： | 四川工程职业技术学院机电系;汕头杰森五金有限公司; |
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| 摘 要： | 针对铝合金板料在弯曲成形后回弹的现象,分析了板料弯曲时回弹的力学原理,采用变压边力法,利用数值模拟软件对板料弯曲的回弹进行了模拟。利用BP神经网络技术对变压边力下,板料的弯曲回弹量进行了预测。通过优化后的神经网络模型,找到了最佳的弯曲成形工艺参数。与实际情况对比,预测的板料弯曲回弹量具有一定的准确性和适用性。
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| 关 键 词： | 板料弯曲 回弹 数值模拟 BP神经网络 变压边力 |
Control of bending springback of aluminum alloy sheet metal based on BP neural network |
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| HAN Xiong-wei,LI Xin-xing,CHEN Zu-hong.Control of bending springback of aluminum alloy sheet metal based on BP neural network[J].Die & Mould Industry,2011(9):22-26. |
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| Authors: | HAN Xiong-wei LI Xin-xing CHEN Zu-hong |
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| Affiliation: | HAN Xiong-wei1,LI Xin-xing1,CHEN Zu-hong2(1.Department of Mechanical and Electrical Engineering,Sichuan Engineering Technical College,Deyang,Sichuan 618000,China,2.Jason Hardware Co.,Ltd,Shantou,Guangdong 515834,China) |
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| Abstract: | The mechanical principle of bending springback of aluminum alloy sheet metal was studied and based on variable blank holder force method,the phenomenon was simulated.Then the bending springback amount under variable blank holder force was predicted using BP neural network technology.Optimum bending parameters were obtained through optimized neural network model which show certain accuracy and applicability. |
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| Keywords: | bending of sheet metal springback numerical simulation BP neural network variable blank holder force |
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