基于蚁群算法的激光表面淬火工艺参数神经网络优化系统Ant colony algorithm-based laser surface hardening process parameters neural network optimization system
颜丙功,伍耀庭,刘继常,郭怡晖
摘要(Abstract)：
建立了基于蚁群算法的激光表面淬火工艺参数神经网络优化系统。用神经网络建立激光表面淬火工艺参数与目标参数的非线性模型,借助蚁群算法搜索决策工艺参数的最优组合,自动优化工艺参数。用VC++6.0开发了激光表面淬火工艺参数优化程序。结果表明,基于蚁群算法的神经网络优化系统用于解决激光表面淬火工艺参数优化问题是可行且有效的。
关键词(KeyWords)： 激光表面淬火;参数优化;神经网络;蚁群算法
基金项目(Foundation): 国家自然科学基金项目(51075134)
作者(Author): 颜丙功,伍耀庭,刘继常,郭怡晖
DOI: 10.13289/j.issn.1009-6264.2014.s1.044
参考文献(References)：
- [1]范青武,张连宝,左演声.基于神经网络的激光表面淬火性能预报与工艺设计的研究[J].材料热处理学报,2002,23(4):43-46.FAN Qing-wu,ZHANG Lian-bao,ZUO Yan-sheng.Predicting the properties of laser surface quenching and designing its technological parameter based on artificial neural network[J].Tranactions of Materials and Heat Treatment,2002,23(4):43-46.
- [2]ZHANG Tao-hong,LI Lin-xin,LIANG Fu-jun,et al.Parameter optimization of laser die-surface hardening using the particle swarm optimization technique[J].The International Journal of Advanced Manufacturing Technology,36(11-12),1104-1112.
- [3]张连宝,范青武,左演声,等.混合智能技术在激光淬火工艺优化中的应用[J].材料科学与应用,2004,12(6):654-657.ZHANG Lian-bao,FAN Qing-wu,ZUO Yan-sheng,et al.The appliance of mixed intelligent technique to optimization of procedure parameter of laser surface quenching[J].Materials Science and Technology,2004,12(6):654-657.
- [4]Yan B G,Liu J C.Calculation of laser transformation hardening with circular beam[J].Materials Technology,2012,27(1):5-7.
- [5]伍耀庭.激光熔覆控制系统及其检测软件研究[D].长沙:湖南大学,2009:34-45.WU Yao-ting.Research on the software of laser cladding control and detection system[D].Changsha:Hunan University,2009:34-45.
- [6]段海滨.蚁群算法原理及其应用[M].北京:科学出版社,2005:273-275.
- [7]郭怡晖.球墨铸铁QT600-3激光相变硬化数值模拟与试验研究[D].长沙:湖南大学,2010:49-50.GUO Yi-hui.Numerical simulation of laser transformation hardening of ductile cast iron QT600-3[D].Changsha:Hunan University,2010:49-50.
文章评论(Comment)：
|
||||||||||||||||||
|
||||||||||||||||||