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压力铸造充型过程多工艺参数的优化选择
Alternative TitleOptimal Selection of Multiple Parameters in Filling Process of Pressure Die Casting
贵刚; 于军; 苏丽杰; 聂义勇
Department工业控制系统研究室
Source Publication中国科学院研究生院学报
ISSN1002-1175
2004
Volume21Issue:4Pages:532-537
Indexed ByCSCD
CSCD IDCSCD:1857898
Contribution Rank1
Keyword压力铸造 神经网络 遗传算法 插值
Abstract

首先建立一个多维参数优化模型 ,即 2个目标函数 ,多个工艺参数 .在不能得到其理论解的时候 ,采用神经网络与遗传算法相结合的方法 ,求解该复杂优化模型的近似解 .即先利用铸造充型过程数值仿真软件 ,通过数值计算获得一些有关工艺参数的仿真结果 ;然后将数值实验结果作为样本数据 ,运用L M算法训练神经网络 ,建立起目标函数值 (充型时间和充型结束时型腔内最高温度与最低温度之差 )和输入参数 (多个工艺参数 )之间的函数关系 ,进而使用遗传算法寻优 ,从而得到最合适的浇铸参数组合 .

Other Abstract

A technological parameter optimal model with multi-object and multi-parameter is given. Some numerical simulation results are firstly obtained by ProCAST when the technological parameters are specified. Then these simulation data are provided for the multi-layer feed-forward network training. As a result,the function,between the input and output parameters,can be constructed by neural networks.Finally,the optimal problem may be solved by Genetic Algorithm. The most proper cast parameters are obtained.

Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/5408
Collection工业信息学研究室_工业控制系统研究室
Corresponding Author贵刚
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院研究生院
Recommended Citation
GB/T 7714
贵刚,于军,苏丽杰,等. 压力铸造充型过程多工艺参数的优化选择[J]. 中国科学院研究生院学报,2004,21(4):532-537.
APA 贵刚,于军,苏丽杰,&聂义勇.(2004).压力铸造充型过程多工艺参数的优化选择.中国科学院研究生院学报,21(4),532-537.
MLA 贵刚,et al."压力铸造充型过程多工艺参数的优化选择".中国科学院研究生院学报 21.4(2004):532-537.
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