| 基于神经网络与遗传算法的压铸工艺参数优化 |
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| 引用本文： | 王成勇,朱汝城,王婉璐,李亨,刘全坤,周慧杰. 基于神经网络与遗传算法的压铸工艺参数优化[J]. 塑性工程学报, 2011, 18(3). DOI: 10.3969/j.issn.1007-2012.2011.03.023 |
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| 作者姓名： | 王成勇 朱汝城 王婉璐 李亨 刘全坤 周慧杰 |
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| 作者单位： | 合肥工业大学材料科学与工程学院,合肥,230009 |
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| 基金项目： | 教育部科技部广东省产学研专项资助项目，国家大学生创新性实验计划资助项目 |
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| 摘 要： | 依据A356咖啡机顶盖高压铸造特点,采用FEM仿真软件对铸件成型工艺进行数值模拟,以L16(45)正交试验和6个补充试验作为BP神经网络的训练样本,建立模具热应力与浇注温度、模具预热温度、压射比压、压铸速度4个压铸工艺参数的非线性映射关系;以模具热应力σmax的最小值为优化目标,运用遗传算法进行工艺参数优化。最终得出浇注温度、模具预热温度、压射比压、压铸速度等4个参数最佳的一组组合,使试验指标σmax最小,模具的热疲劳趋势最低,零件的成型质量最佳。试验结果证明,该减少模具热疲劳趋势的优化方案具有可行性,同时对相近结构压铸件的生产也具有一定的指导意义。
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| 关 键 词： | 热疲劳 BP神经网络 遗传算法 压铸 数值模拟 |
Optimization of die casting processing parameters based on BP neural network and GA algorithm |
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| WANG Cheng-yong,ZHU Ru-cheng,WANG Wan-lu,LI Heng,LIU Quan-kun,ZHOU Hui-jie. Optimization of die casting processing parameters based on BP neural network and GA algorithm[J]. Journal of Plasticity Engineering, 2011, 18(3). DOI: 10.3969/j.issn.1007-2012.2011.03.023 |
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| Authors: | WANG Cheng-yong ZHU Ru-cheng WANG Wan-lu LI Heng LIU Quan-kun ZHOU Hui-jie |
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| Affiliation: | WANG Cheng-yong ZHU Ru-cheng WANG Wan-lu LI Heng LIU Quan-kun ZHOU hui-jie(School of Material Science and Engineering,Hefei University of Technology,Hefei 23009 China) |
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| Abstract: | According to the feature of high pressure die casting of A356 coffee machine dome,the die casting process of coffee machine dome was simulated by finite element simulate software.The L16(45)-orthogonal experiments and six complementary experiments were chosen as the trained samples of Back Propagation Neural Network.The major processing parameters of die casting were pouring temperature,mould pre-heated temperature,injection pressure and injection speed.The non-linear mapping between these processing parame... |
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| Keywords: | thermal fatigue BP neural network genetic algorithm die casting numerical simulation |
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