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2016, 03, v.43 25-27
基于神经网络和遗传算法的机床床身优化设计研究
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摘要:

机床的床身的动态特性和静刚度直接影响加工精度、生产效率以及机床的使用寿命,目前机床正朝着高速、高精度、复合化以及高自动化的方向发展,因此研究机床床身的动态特性和静刚度十分必要。为提高某机床床身和横梁的动态特性和静刚度,综合运用结构动态优化原理,神经网络和遗传算法,对床身和横梁进行了结构动态特性分析,提出了该床身结构的优化方案。分析结果表明,优化方案的床身和横梁的动态性能和静刚度得到了明显提高。可供相关机床床身优化设计参考。

Abstract:

Dynamic characteristics directly affect the service life, working accuracy and manufacturing efficiency of a machine tool. Nowadays machine tools industry, have been a popular area with high level requirements in speed, accuracy and automation. In order to improve the dynamic characteristics and static stiffness of a machine tool bed and beam, integrated use of structural dynamic optimization theory, do structural dynamic characteristic analysis of machine tool bed and beam, put forward the optimization scheme of them. The analysis results show that, the dynamic performance optimization of machine tool bed and beam and the static stiffness was improved significantly, which can be reference of the optimum structural design of the related machine tools.

基本信息:

中图分类号:TG502.1;TP18

引用信息:

[1]于添,黄旭,范格非.基于神经网络和遗传算法的机床床身优化设计研究[J].机械,2016,43(03):25-27.

发布时间:

2016-03-25

出版时间:

2016-03-25

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