[1]王 雷,王 明,邢屹鹏.基于响应面模型与遗传算法的机床立柱优化[J].南京理工大学学报(自然科学版),2018,42(04):453.[doi:10.14177/j.cnki.32-1397n.2018.42.04.010]
 Wang Lei,Wang Ming,Xing Yipeng.Optimization on machine tool pillar based on response suefacemodel and genetic algorithm[J].Journal of Nanjing University of Science and Technology,2018,42(04):453.[doi:10.14177/j.cnki.32-1397n.2018.42.04.010]
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基于响应面模型与遗传算法的机床立柱优化()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
42卷
期数:
2018年04期
页码:
453
栏目:
出版日期:
2018-08-30

文章信息/Info

Title:
Optimization on machine tool pillar based on response suefacemodel and genetic algorithm
文章编号:
1005-9830(2018)04-0453-06
作者:
王 雷王 明邢屹鹏
安徽工程大学 机械与汽车工程学院,安徽 芜湖 241000
Author(s):
Wang LeiWang MingXing Yipeng
School of Mechanical and Automotive Engineering,Anhui Polytechnic University,Wuhu 241000,China
关键词:
机床立柱 响应面模型 遗传算法 Pareto最优解 参数优化 中心复合试验设计 灵敏度分析 设计变量
Keywords:
machine tool pillar response surface model genetic algorithm pareto optimal solution parameter optimization central composite design sensitivity analysis design variable
分类号:
TH122
DOI:
10.14177/j.cnki.32-1397n.2018.42.04.010
摘要:
针对机床立柱优化问题,提出了一种将响应面模型与遗传算法相结合的优化设计方法。采用拉丁立方试验的设计方法,在设计空间中抽取样本点并进行数值模拟,建立了立柱最大变形、一阶固有频率及质量的响应面模型。利用遗传算法对响应面模型进行优化,得到了Pareto最优解集。实验结果表明:与原先的设计方案相比,优化后的立柱质量减轻了7.2%,最大变形量和前六阶固有频率有不同程度的改善。该文所提出的方法较适用于机床及类似复杂结构的参数优化设计。
Abstract:
An optimization method based on response surface model and genetic algorithm is proposed to deal with the optimal design problem for machine tool pillars. The Latin hypercube design scheme is used to carry out the experiment. Meanwhile,sampling points in the design space and numerical simulation are executed for constructing the response surface model of the three indexes for pillar:the maximal deformation,the first-order natural frequency and its total mass. The response surface model is further optimized by using the genetic algorithm,and the Pareto optimal solutions are obtained. The experimental results show that compared with the original design scheme,the optimized total mass is reduced by 7.2%; the first-order to sixth-order natural frequencies and the maximal deformation of the pillar have different improvements. Therefore,the proposed method is more suitable for parameters optimization on the machine tools and similar complex structure.

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备注/Memo

备注/Memo:
收稿日期:2017-06-22 修回日期:2017-11-23
基金项目:安徽省自然科学基金(1708085ME129); 安徽工程大学“中青年拔尖人才”项目
作者简介:王雷(1982-),男,博士,副教授,主要研究方向:智能优化算法、作业车间调度等,E-mail:wangdalei2000@126.com。
引文格式:王雷,王明,邢屹鹏.基于响应面模型与遗传算法的机床立柱优化[J]. 南京理工大学学报,2018,42(4):453-458. 投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2018-08-30