机床横梁结构神经网络与算法优化研究

金俊尉; 楼佩煌; 钱晓明; 武星

doi:10.13433/j.cnki.1003-8728.2016.0909

机床横梁结构神经网络与算法优化研究

doi: 10.13433/j.cnki.1003-8728.2016.0909

1.
南京航空航天大学江苏省精密与微细制造技术重点实验室, 南京 210016

基金项目:

江苏省精密与微细制造技术重点实验室开放项目与江苏省产学研合作前瞻性联合研究项目（BY2015003-11）资助

详细信息

作者简介:
金俊尉(1988-),硕士研究生,研究方向为机电一体化设备的设计与优化、计算机集成制造技术,jjw2352@126.com

通讯作者:
楼佩煌(联系人),教授,博士生导师,meephlou@nuaa.edu.cn

计量
- 文章访问数: 93
- HTML全文浏览量: 14
- PDF下载量: 8
- 被引次数: 0
出版历程
- 收稿日期: 2014-10-19
- 刊出日期: 2016-09-05

Study on Neural Networks and Optimization Algorithms of Machine Beam Structure

1.
Nanjing University of Aeronautics and Astronautics, Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology, Nanjing 210016, China

摘要

摘要: 通过正交试验法确定网络训练样本，在MATLAB中利用神经网络对有限元分析得出的样本数据建立了激光切割机横梁结构设计参数与各输出参数的非线性全局映射，利用模糊解法得到多目标优化模型的目标函数，并通过遗传算法对激光切割机横梁进行结构优化。仿真结果表明，采用基于神经网络和遗传算法，并与模糊解法相结合的多目标优化技术，可实现激光切割机横梁结构设计的优化，使得横梁的质量和刚度得到改善。
- 横梁 /
- 结构优化 /
- 神经网络 /
- 遗传算法 /
- 模糊解法
Abstract: The orthogonal experiment was used to chose the training sample data, and the sample data was calculated based on the model via finite element method in this paper.With the sample data, a non-linear mapping function from design variables to output structure features of the laser cutting machine beam was established by using the neural networks in MATLAB. As the fuzzy multiobjective optimization methods provided the objective function, the structural optimization of laser cutting machine beam was put forward via genetic algorithms. The computer simulation results showed that the multi-objective optimization technology based on the neural networks and genetic algorithms and combining the fuzzy methods, can achieve the structural optimization of laser cutting machine beam soa s to improve the mass and the rigidity of beam.
- beam /
- structural optimization /
- neural networks /
- genetic algorithm /
- fuzzy algorithm

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参考文献(15)

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