[1]罗黎,孙蓓蓓,陈翰翔.基于网格变形与代理模型的横梁参数化建模与轻量化优化[J].东南大学学报(自然科学版),2015,45(1):56-62.[doi:10.3969/j.issn.1001-0505.2015.01.011]
 Luo Li,Sun Beibei,Chen Hanxiang.Parametric modeling and lightweight optimization for cross beam of punch based on grid deformation and agent model[J].Journal of Southeast University (Natural Science Edition),2015,45(1):56-62.[doi:10.3969/j.issn.1001-0505.2015.01.011]
点击复制

基于网格变形与代理模型的横梁参数化建模与轻量化优化()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
45
期数:
2015年第1期
页码:
56-62
栏目:
材料科学与工程
出版日期:
2015-01-20

文章信息/Info

Title:
Parametric modeling and lightweight optimization for cross beam of punch based on grid deformation and agent model
作者:
罗黎孙蓓蓓陈翰翔
东南大学机械工程学院, 南京 211189
Author(s):
Luo Li Sun Beibei Chen Hanxiang
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
关键词:
参数化 网格变形技术 轻量化 代理模型
Keywords:
parameterization mesh deformation technology lightweight agent model
分类号:
TG385.1
DOI:
10.3969/j.issn.1001-0505.2015.01.011
摘要:
建立了包含导轨结合面的横梁有限元模型,并通过模态实验验证了有限元模型的正确性,在多种极限工况下对原横梁进行了静动态特性分析与评价;针对现有优化方法的不足,采用了一种新的优化设计方法:通过网格变形技术实现结构尺寸的参数化建模,基于拉丁超立方采样、相对灵敏度分析和Kriging近似模型建立横梁结构优化的代理模型以代替现有的有限元仿真模型;以体积最小为优化目标,以刚度、强度和动态性能不变为约束条件,采用遗传算法进行优化设计.优化结果表明:在保持横梁最大变形、静刚度以及一阶模态频率基本不变的情况下,横梁总质量减少了58 kg(减少了5.9%).
Abstract:
The finite element model for cross beam including guide joint surface is established, and the reliability of the model is validated through modal experiments. The static and dynamic analyses for the cross beam under different operating conditions are carried out. Due to the shortcomings of existing optimization methods, a new method is proposed. A parameterized model is set up through the mesh deformation technology. An agent model is built through Latin hypercube sampling, relative sensitivity analysis and the Kriging approximation model. Taking the volume as the goal, the stiffness, strength and the first order natural frequency as the constraint conditions, the lightweight design is produced by GA(genetic algorithms). The optimization results show that the mass of the cross beam can be reduced by 58 kg(5.9%), while the maximum deformation, strength and the first order natural frequency keep basically unchanged.

参考文献/References:

[1] Kroll L, Blau P, Wabner M. Lightweight components for energy-efficient machine tools [J]. CIRP Journal of Manufacturing Science and Technology, 2011, 4(2):148-160.
[2] Sakundarini C, Taha Z, Abdul-Rashid S H, et all. Optimal multi-material selection for lightweight design of automotive body assembly incorporating recyclability [J]. Materials & Design, 2013, 50:846-857.
[3] 穆雪峰,姚卫星,余雄庆.多学科设计优化中常用代理模型的研究[J].计算力学学报,2005,22(5):608-612.
  Mu Xuefeng,Yao Weixing,Yu Xiongqing. A survey of surrogate models used in MDO[J].Chinese Journal of Computational Mechanics, 2005, 22(5):608-612.(in Chinese)
[4] Zhang G P,Huang Y M, Shi W H, et al.Predicting dynamic behaviours of a whole machine tool structure based on computer-aided engineering[J].International Journal of Machine Tools & Manufacture, 2003, 43(7): 699-760.
[5] 方剑亮,高云凯,王婧人,等. 基于网格变形技术的白车身多目标形状优化[J].机械工程学报,2012,48(24):119-126.
  Fang Jianliang, Gao Yunkai, Wang Jingren, et al. Multi-objective shape optimization of body-in-white based on mesh morphing technology [J].Journal of Mechanical Engineering, 2012, 48(24):119-126.(in Chinese)
[6] Hae Chang Gea. Topology optimization: a new microstructure based design domain method [J].Computers & Structures, 1996, 61(5): 781-788.
[7] Auweraer H, Langenhove T, Brughmans M, et al. Application of mesh morphing technology in the concept phase of vehicle development [J]. International Journal of Vehicle Design, 2007, 43(1/2/3/4):281-305.
[8] 季枫,王登峰,陈书明,等.轿车白车身隐式全参数化建模与多目标轻量化优化[J].汽车工程,2014,36(2):254-258.
  Ji Feng, Wang Dengfeng, Chen Shuming, et al. Implicit parameterization modeling and multi-objective lightweight optimization for a car’s body-in-white [J].Automotive Engineering, 2014, 36(2):254-258.(in Chinese)
[9] 郭磊,张辉,叶佩青,等.基于灵敏度分析的机床轻量化设计[J].清华大学学报:自然科学版,2011,55(6):846-850.
  Guo Lei, Zhang Hui, Ye Peiqing, et al. Lightweight design of a machine tool based on sensitivity analysis[J].J Tsinghua University: Science & Technology, 2011, 55(6):846-850.(in Chinese)
[10] Jin R, Chen W, Simpson T W. Comparative studies of meta modeling techniques under multiple modeling criteria[J].Journal of Structural and Multidisciplinary Optimaization, 2001, 23(1):1-13.

备注/Memo

备注/Memo:
收稿日期: 2014-07-29.
作者简介: 罗黎(1990—),女,硕士生;孙蓓蓓(联系人),女,博士,教授,博士生导师,bbsun@seu.edu.cn.
基金项目: 江苏省科技支撑计划资助项目(BE2014133)、江苏省前瞻性联合研究资助项目(BY2014127-01)、教育部重点实验室开放基金资助项目(UASP1301).
引用本文: 罗黎,孙蓓蓓,陈翰翔.基于网格变形与代理模型的横梁参数化建模与轻量化优化[J].东南大学学报:自然科学版,2015,45(1):56-62. [doi:10.3969/j.issn.1001-0505.2015.01.011]
更新日期/Last Update: 2015-01-20