| 基于遗传算法BP神经网络的DEFORM-3D车削加工模拟优化 |
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| 引用本文： | 江平,邓志平. 基于遗传算法BP神经网络的DEFORM-3D车削加工模拟优化[J]. 机床与液压, 2012, 40(7): 163-166 |
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| 作者姓名： | 江平 邓志平 |
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| 作者单位： | 西华大学机械工程与自动化学院,四川成都,610039 |
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| 摘 要： | 采用DEFORM-3D软件对高速车削进行仿真,得出车削过程中的工艺数据;构建BP神经网络,利用遗传算法优化BP网络,对结果做出了精确预报,找到了模拟条件的最优值,节省了大量的时间以及人力物力,有利于了解车削机理和提高车削质量。
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| 关 键 词： | DEFORM-3D 有限元仿真 遗传算法 BP神经网络 |
Optimization of DEFORM-3D Turning Machining Simulation Based on Genetic Algorithm BP Neural Network |
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| JIANG Ping , DENG Zhiping. Optimization of DEFORM-3D Turning Machining Simulation Based on Genetic Algorithm BP Neural Network[J]. Machine Tool & Hydraulics, 2012, 40(7): 163-166 |
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| Authors: | JIANG Ping DENG Zhiping |
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| Affiliation: | (School of Mechanical Engineering & Automation,Xihua University,Chengdu Sichuan 610039,China) |
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| Abstract: | DEFORM-3D was used to simulate high-speed turning.The process data in cutting process were obtained.BP neural network was built and genetic algorithm was used to optimize the BP neural network.A precise prediction for actual results was made and the optimal values of the simulation conditions were found.A lot of time and manpower and materials are saved.Moreover,it is helpful for understanding cutting mechanism and improving cutting quality. |
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| Keywords: | DEFORM-3D software Finite element simulation Genetic algorithm BP neural network |
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