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基于Kriging模型的等速万向节滑套冷精整工艺的优化
英文标题:Optimization on cold sizing process of CVJ spherical housings based on Kriging model
作者:郭嘉晨 汪建敏 潘小迎 樊博闻 饶广 
单位:江苏大学 
关键词:等速万向节滑套 Kriging模型 粒子群算法 杯壁高度差 冷精整 
分类号:TG316.3
出版年,卷(期):页码:2017,42(5):176-180
摘要:

针对车用等速万向节滑套在实际冷精整后杯壁端部出现不平整的问题,基于Deform有限元分析软件,提出Kriging代理模型与粒子群算法相结合的方法,以杯壁高度差为优化目标,使用拉丁超立方抽样法对预成形件尺寸参数进行抽样、完成实验设计,通过数值模拟得到仿真结果,并拟合成相应的Kriging模型。采用MATLAB将Kriging模型与粒子群算法相结合,对因素进行全局寻优,得到最小杯壁高度差的预成形件尺寸。产品试制后,杯壁高度差由原来工艺的12 mm缩小为3 mm,验证了此优化方法的实用性和正确性,提高了锻件的材料利用率。

For the problem of uneven cup wall end after cold sizing for CVJ spherical housing, setting the height difference of cup wall as the optimization objective, a combination method of Kriging surrogate model with particle swarm optimization was applied based on finite element analysis software Deform. Then, the dimension parameters of perform part was sampled by the Latin hypercube sampling method, and the experimental design was completed. Next, the simulation result was obtained by FEM and fitted to the corresponding Kriging model. Furthermore, the Kriging surrogate model was combined with the particle swarm optimization by software MATLAB, the minimum height difference of perform part cup wall was obtained by the global optimization on factors. At last, the height difference of the industrial trial production is reduced from 12 mm to 3 mm, which proves the practicability and validity of the optimization method, and the material utilization rate is improved as well.
基金项目:
江苏大学学生科研立项(14A309)
作者简介:
郭嘉晨(1992-),男,硕士研究生 汪建敏(1959-),男,硕士,教授
参考文献:
 



[1]Ku T, Kim L, Kang B, et al. Multi-stage cold forging and experimental investigation for the outer race of constant velocity joints[J].Materials & Design, 2013, 49: 368-385.
[2]胡福荣,蒋鹏.G2500曲轴辊锻件的模锻成形过程的模拟与分析[J]. 锻压技术,2015,40(8):153-157.Hu F R,Jiang P. Simulation and analysis on die forging process for the roll forging workpiece of G2500 crank shaft [J].Forging & Stamping Technology,2015,40(8):153-157.
[3]Lebaal N, Schmidt F, Puissant S, et al. Design and optimization of three-dimensional extrusion dies, using constraint optimization algorithm [J]. Finite Elements in Analysis and Design, 2009, 45(5): 333-340.
[4] Gorissen D, Couckuyt I, Demeester P, et al. A surrogate modeling and adaptive sampling toolbox for computer based design[J]. Journal of Machine Learning Research, 2010, 11(1): 2051-2055.
[5] Gorissen D, Couckuyt I, Laermans E, et al. Multi objective global surrogate modeling, dealing with the 5-percent problem [J]. Engineering with Computers, 2010, 26(1): 81-98.
[6] Couckuyt I, Dhaene T, Demeester P, et al. ooDACE toolbox: a flexible object-oriented Kriging implementation [J]. Journal of Machine Learning Research, 2014, 15(1): 3183-3186.
[7] Ulaganathan S, Couckuyt I, Deschrijver D, et al. A Matlab toolbox for Kriging metamodelling[J]. Procedia Computer Science, 2015, 51(1): 2708-2713.
[8] Mckay M D, Beckman R J, Conover W J, et al. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code [J]. Technometrics, 2000, 42(1): 55-61.
[9]刘利,孔凡群,赵国际.异形齿离合器盘毂冷挤压工艺优化分析与实验研究[J]. 锻压技术,2015,40(9):53-56.Liu L,Kong F Q,Zhao G J. Optimized analysis and experimental research on cold extrusion for heterodont teeth clutch disc-hub [J]. Forging & Stamping Technology,2015,40(9):53-56.
[10] Bakhshijooybari M, Saboori M, Hosseinipour S J, et al. Experimental and numerical study of optimum die profile in backward rod extrusion [J]. Journal of Materials Processing Technology, 2006, 177(1): 596-599.
[11] Sedighi M, Tokmechi S. A new approach to preform design in forging process of complex parts [J]. Journal of Materials Processing Technology, 2008, 197(1): 314-324.
[12] Marek H. Review of selected methods of increasing the life of forging tools in hot die forging processes [J]. Archives of Civil and Mechanical Engineering, 2016, 16(4):845-866.

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