| 基于CAE和神经网络的注射成型工艺参数优化 |
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| 引用本文： | 刘斌,许建文,江开勇.基于CAE和神经网络的注射成型工艺参数优化[J].工程塑料应用,2007,35(11):31-34. |
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| 作者姓名： | 刘斌 许建文 江开勇 |
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| 作者单位： | 华侨大学模具技术研究中心,泉州,362021 |
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| 基金项目： | 福建省自然科学基金项目(E0540002) |
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| 摘 要： | 通过CAE数值模拟计算,研究了注射成型工艺参数对翘曲变形的影响,以工艺参数为输入参数,以翘曲变形量作为输出参数,构建神经网络模型。以CAE分析结果作为训练样本和校验样本,结合正交实验方法对注塑工艺参数进行优化。这种方法把CAE模拟技术、正交实验技术和神经网络技术有机结合,可以明显缩短优化工艺参数的时间,提高工艺设计效率,能获得比单纯使用正交实验和有限元分析更好的结果。
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| 关 键 词： | 翘曲变形 优化 计算机辅助工程 注射成型 |
| 修稿时间： | 2007-08-15 |
PARAMETRIC OPTIMIZATION OF INJECTION MOLDING PROCESSING BASED ON CAE AND ARTIFICIAL NERVE NETWORK |
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| Liu Bin,Xu Jianwen,Jiang Kaiyong.PARAMETRIC OPTIMIZATION OF INJECTION MOLDING PROCESSING BASED ON CAE AND ARTIFICIAL NERVE NETWORK[J].Engineering Plastics Application,2007,35(11):31-34. |
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| Authors: | Liu Bin Xu Jianwen Jiang Kaiyong |
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| Affiliation: | Research Center of Mold and Die Technology, Huaqiao University, Quanzhou 362021, China |
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| Abstract: | Through CAE numerical simulation,the effects of injection molding technical parameter on warpage were discussed,and the model of nerve network was established by technical parameter as import paeameter and the capacity of warpage as export parameter.Thus technical parameters were optimized by CAE analysis result as training sample and verified sample combined with Taguchi DOE.The method,which united CAE simulation technology,Taguchi DOE and nerve network technology organically,could shorten the time of optimizing technical parameters,improve efficiency of technics design and obtain better result compared with using Taguchi DOE and the finite element analysis simply. |
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| Keywords: | warpage optimization CAE injection molding |
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