[1]毛海军,孙庆鸿,陈南,等.基于BP神经网络模型的机床大件结构动态优化方法及其应用研究[J].东南大学学报(自然科学版),2002,32(4):594-597.[doi:10.3969/j.issn.1001-0505.2002.04.012]
 Mao Haijun,Sun Qinghong,Chen Nan,et al.Dynamic optimization of large parts of machine tool based on BP neural network model[J].Journal of Southeast University (Natural Science Edition),2002,32(4):594-597.[doi:10.3969/j.issn.1001-0505.2002.04.012]
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基于BP神经网络模型的机床大件结构动态优化方法及其应用研究()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
32
期数:
2002年第4期
页码:
594-597
栏目:
机械工程
出版日期:
2002-07-20

文章信息/Info

Title:
Dynamic optimization of large parts of machine tool based on BP neural network model
作者:
毛海军1 孙庆鸿2 陈南2 何杰1 伍建国2
1 东南大学交通学院, 南京 210096; 2 东南大学机械工程系, 南京 210096
Author(s):
Mao Haijun1 Sun Qinghong2 Chen Nan2 He Jie1 Wu Jianguo2
1 Transportation College, Southeast University,Nanjing 210096, China).(2 Department of Mechanical Engineering, Southeast University, Nanjing 210096, China
关键词:
BP神经网络 建模 机床 筋板位置
Keywords:
neural network build model machine tool bars position
分类号:
TH123
DOI:
10.3969/j.issn.1001-0505.2002.04.012
摘要:
将BP神经网络理论与有限元建模方法相结合,提出了采用BP神经网络建立机床整机主要部件的动力学模型,并应用大型有限元分析软件ANSYS的APDL进行BP神经网络样本的快速采样的方法.根据所提出的方法,建立了机床双W筋板床身的筋板位置、厚度与床身前5阶频率之间的BP神经网络模型,并以床身第1阶固有频率最高为目标进行了设计变量的自动搜索寻优计算且获得了满意的结果,表明神经网络理论与传统的数值方法相结合应用于实体结构的动态分析计算具有重要的现实意义.
Abstract:
Combined BP neural networks theory with the finite element modeling method, the dynamic models of the main parts on machine tool are presented. The fast sampling of BP neural network samples is carried out by using APDL of ANSYS. The BP neural network model corresponding to bar position, bar thickness and the preceding 5 frequency of body of double-W bars is built based to the proposed method.To set the first frequency to be the largest, the automatic searching of the optimal solution of design variables is done, and the result is satisfactory, which shows it great reality meaning that the method combined neural network theory with numerical value method is applied to the analysis calculation of solid structures.

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备注/Memo

备注/Memo:
基金项目: 江苏省“九五”重大工业攻关资助顶目(BG98006-2).
作者简介: 毛海军(1965—),男,博士,副教授; 孙庆鸿(联系人),男,教授,博士生导师,me205@seu.edu.cn.
更新日期/Last Update: 2002-07-20