A Multi-objective Optimization Method for Forging Machine Based on Genetic Algorithm

China Mechanical Engineering ›› 2012, Vol. 23 ›› Issue (3): 291-294.

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A Multi-objective Optimization Method for Forging Machine Based on Genetic Algorithm

Shen Yuan;Jin Yi;Chu Biao;Luo Nianwu;Zhu Chang'an

University of Science and Technology of China,Hefei,230027

Online:2012-02-10 Published:2012-02-15
Supported by:
National High-tech R&D Program of China (863 Program) （No. 2007AA04Z1A2）

基于遗传算法的锻压机床多目标优化设计方法

申远;金一;褚彪;骆念武;竺长安

中国科学技术大学,合肥,230027

基金资助:
国家高技术研究发展计划(863计划)资助项目(2007AA04Z1A2)
National High-tech R&D Program of China (863 Program) （No. 2007AA04Z1A2）

Abstract

Abstract:

This paper proposed a genetic algorithm-based design and optimization method for forging machines,and based on this method developed an integrated platform whose core was a multi-objective optimization system.It can direct the design,expedite the optimization and improve the optimization result by calculating the precise analysis results of 3D models and carrying through multi-objective optimization based on genetic algorithm.Finally,the reliability and validity of the platform was validated by optimizing a forging machine.

Key words: forging machine, integrated design and optimization platform, genetic algorithm, multi-objective optimization

摘要：

提出了一种基于遗传算法的锻压机床优化设计方法,并基于该方法开发了一个以多目标参数优化系统为核心的优化设计平台。该设计平台综合运用了Pro/E的建模及分析计算能力和MATLAB的数学分析处理能力,使得在该优化平台上进行的优化设计既可以保证以精确的实体模型的分析结果为指导,又能基于遗传算法进行多参数多目标协同优化,从而提高了锻压机床的设计效率和优化效果。以某锻压机床为实例,验证了该平台的有效性和可靠性。



关键词:

锻压机床, 优化设计平台, 遗传算法, 多目标优化

CLC Number:

TG305

SHEN Yuan, JIN Yi, CHU Biao, JIA Nian-Wu, DU Chang-An.

A Multi-objective Optimization Method for Forging Machine Based on Genetic Algorithm

[J]. China Mechanical Engineering, 2012, 23(3): 291-294.

申远, 金一, 褚彪, 骆念武, 竺长安.

基于遗传算法的锻压机床多目标优化设计方法

[J]. 中国机械工程, 2012, 23(3): 291-294.

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A Multi-objective Optimization Method for Forging Machine Based on Genetic Algorithm

基于遗传算法的锻压机床多目标优化设计方法

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