Please wait a minute...
J4  2013, Vol. 47 Issue (11): 2010-2019    DOI: 10.3785/j.issn.1008-973X.2013.11.019
机械工程、化学工程     
 基于混合响应面法的滚压成型回弹角预测控制及应用
胡星星,裘乐淼,张树有,张辉
浙江大学 机械工程学系,浙江 杭州 310027
Application of a hybrid RSM for springback predictive control in roll forming
HU Xing-xing,QIU Le-miao, ZHANG Shu-you, ZHANG Hui
Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
 全文: PDF  HTML
摘要:

为了解决板金属滚压成型回弹角预测精度不足以及滚压成型工艺参数的选定过多依赖于经验设计的问题,提出将参数响应面法与非参数响应面法结合形成混合响应面法,利用混合响应面法对滚压成型的加工工艺参数进行优化并预测控制板金属回弹角的大小.通过混合响应面法可以分段构建板金属滚压成型回弹角预测模型,将预测模型的回弹角响应值和滚压成型实验回弹角值进行误差分析比较,两者具有良好的一致性;最后通过优化求解回弹角预测模型得到回弹角的最小值,结果表明,选用适当的成型板料弯曲内半径、过弯角可以大大减小滚压成型回弹角.

Abstract:

To solve problems of insufficient prediction accuracy of springback angle and process parameters selected depending on design experience, this paper proposed a hybrid response surface method (HRSM), which was formed with the response surface method and non-parametric response surface method. HRSM had helped to optimize roll forming processing parameters in order to predict and contorl the springback angle of sheet metal. Phased springback angle prediction models of sheet metal had been built with HRSM and the error of springback angle showed that there was a good agreement between experimental values and springback values of prediction models. Finally,minimum springback angle was obtained by solving springback angle prediction models. The result also proves that springback angle can be greatly reduced by suitable bending inner radius and overbending angles of sheet matal in roll forming.

出版日期: 2013-11-01
:  TG 335  
基金资助:

国家自然科学基金资助项目(50905159);浙江省自然科学基金资助项目(LY12E05019);中央高校基本科研业务费专项基金(2012FZA4001,);教育部博士点基金资助项目(200803350031).

通讯作者: 裘乐淼,男,副教授.     E-mail: qiulm@zju.edu.cn
作者简介: 胡星星(1986-),男,硕士生,从事板金属冷弯成型技术及产品数字化的研究.E-mail:huxa10@163.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

胡星星,裘乐淼,张树有,张辉.  基于混合响应面法的滚压成型回弹角预测控制及应用[J]. J4, 2013, 47(11): 2010-2019.

HU Xing-xing,QIU Le-miao, ZHANG Shu-you, ZHANG Hui. Application of a hybrid RSM for springback predictive control in roll forming. J4, 2013, 47(11): 2010-2019.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2013.11.019        http://www.zjujournals.com/eng/CN/Y2013/V47/I11/2010

[1] 曾国,来新明,于忠奇,等.多道次辊弯成形数值模拟技术[J]. 上海交通大学学报,2007,41(10):1598-1602.
ZENG Guo,LAI Xing-min,YU Zhong-qi,et al.The simulation of roll forming with multiple passes [J]. Journal of Shanghai Jiaotong University,2007,41(10):1598-1602.
[2] JOHN P,KONSTANTINOS S,GEORGE C. Investigation of the effect of roll forming pass design on main redundant deformations on profiles from AHSS [J]. International Journal of Advance Manufacturing Technologies,2011,56:457-491.
[3] HONG S P,TRAN V A.Optimization of bending sequence in roll forming using neural network and genetic algorithm [J]. Journal of Mechanical Science and Technology,2011,25(8):2127-2136.
[4] ZENG G,LI S H,YU Z Q,et al.Optimization design of roll profiles for cold roll forming based on response surface method [J]. Materials and Design,2009,30:1930-1938.
[5] HAN F,AI Z Q,LIU J Y,et al.Robust optimization design of ultra high strength steel roll forming based on response surface method [J]. Applied Mechanics and Materials,2010,20-23:1416-1422.
[6] 刘继英,小奈弘.冷弯成型技术[M].北京:化学工业出版社,2007,9.
[7] MLLER H G.Nonparametric regression analysis of long-itudinal data [M]. Berlin: Springer,1988.
[8] WOLFGANG H.Applied Nonparametric Regression [M]. Berlin:Humboldt-Universitt,1994.
[9] KAISA M,PEKKA N,JACQUES P,et al.Evolutionary algorithms in engineering and computer science∶recent advances in genetic algorithms,evolution stategies,evolutionary programming,genetic programming,and industrial applications [M].New York:Wiley,1999.
[10] NIKOLAUS H.The CMA evolution strategy:A comparing review [J].StudFuzz,2006,192:75-102.
[11] HANS P S.Evolution and optimum seeking [M].[S.l.]:John Wiley & Sons,1994.
[12] NIKOLAUS H,ANDREAS O.Comepetely derandomized self-adaptation in evolution strategies [J].Evolutionary Computation,2001,9(2):159-195.
[13] NIKOLAUS H,ANDREAS O.Convergence properties of evolution strategies with the derandomized covariance matrix adaptation:The (μ/μI,λ)-CMA-ES [C]∥In Proceedings of the 5th European Congresson Intelligent Techniques and Soft Computing.German:[s.n.],1997:650-654.
[14] GEORGE T H.Roll Forming Handbook [M].Boca Raton:CRC Press,2006.
[15] 方开泰,马长兴.正交和均匀实验设计[M].北京:科学出版社,2001.
[16] 白厚义.回归设计及多元统计分析[M].广西:广西科学技术出版社,2003.

No related articles found!