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灰色关联分析在SPIF表面粗糙度优化中的应用

李韩博 杨明顺 李言 袁启龙 姚梓萌

李韩博, 杨明顺, 李言, 袁启龙, 姚梓萌. 灰色关联分析在SPIF表面粗糙度优化中的应用[J]. 机械科学与技术, 2017, 36(10): 1575-1581. doi: 10.13433/j.cnki.1003-8728.2017.1015
引用本文: 李韩博, 杨明顺, 李言, 袁启龙, 姚梓萌. 灰色关联分析在SPIF表面粗糙度优化中的应用[J]. 机械科学与技术, 2017, 36(10): 1575-1581. doi: 10.13433/j.cnki.1003-8728.2017.1015
Li Hanbo, Yang Mingshun, Li Yan, Yuan Qilong, Yao Zimeng. Optimization of SPIF Surface Roughness via Grey Relational Analysis[J]. Mechanical Science and Technology for Aerospace Engineering, 2017, 36(10): 1575-1581. doi: 10.13433/j.cnki.1003-8728.2017.1015
Citation: Li Hanbo, Yang Mingshun, Li Yan, Yuan Qilong, Yao Zimeng. Optimization of SPIF Surface Roughness via Grey Relational Analysis[J]. Mechanical Science and Technology for Aerospace Engineering, 2017, 36(10): 1575-1581. doi: 10.13433/j.cnki.1003-8728.2017.1015

灰色关联分析在SPIF表面粗糙度优化中的应用

doi: 10.13433/j.cnki.1003-8728.2017.1015
基金项目: 

国家自然科学基金项目(51475366)与陕西省科技计划项目(2016JM5074)资助

详细信息
    作者简介:

    李韩博(1988-),硕士研究生,研究方向为先进制造与现代加工技术,414463184@qq.com

    通讯作者:

    杨明顺(联系人),副教授,博士,Yangmingshun@xaut.edu.cn

Optimization of SPIF Surface Roughness via Grey Relational Analysis

  • 摘要: 成形件表面质量差是制约单点增量成形(SPIF)应用的主要因素之一,其中表面粗糙度是评价表面质量的一项重要指标。以45°方锥台为研究对象,采用基于灰色关联分析的方法,进行成形件表面质量多目标控制的成形参数优化。为了采用较少的实验次数搜寻到最佳的表面质量特性的成形参数,采用田口正交表进行实验设计,通过灰色关联分析中得到的灰色关联度决定优化的成形参数,同时通过成形参数的最大与最小的灰色关联度差值得到了对表面质量影响较显著的因子。实验结果表明:利用本文提出的方法,可以使成形件的纵向和横向表面粗糙度得到有效的改善。
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出版历程
  • 收稿日期:  2016-07-29
  • 刊出日期:  2017-10-05

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