Transactions of Materials and Heat Treatment

Title：3D preforming design and optimization of forging with high rib and thin web

Authors： Zhang Han Zheng Zhizhen Li Jianjun Wang Jiyong

Unit： Huazhong University of Science and Technology

KeyWords： high rib and thin web forging preform design neural network optimization

ClassificationCode：TG316

year,vol(issue):pagenumber：2014,39(2):12-16

Abstract：

Forgings with high rib and thin web usually have large size and complex cavity. A rational preform design must be carried out in forging process. A method of 3-D preform design was presented and adopted for a typical high rib and thin web forging. According to the similarity of electrostatic field and forging velocity field, equipotential surface was used to describe the shape of preform. In this method, FEM software Deform-3D was employed to verify and evaluate the shape of preform through simulation of preform process. Next, a neural network was built to establish the mapping relationship between billet dimension, potential value of equipotential surface and equivalent strain difference, filling ratio, then optimum was obtained by using genetic algorithms, the joint optimization of billet and preform was achieved finally. The results show that the method can design the preform forgings efficiently and accurately, and has good reliability.

Funds：

国家科技重大专项资助项目（2009ZX04005-011，2012ZX04010-081）

张晗（1990-），男，硕士研究生

Reference：

［1］Kobayashi S, Oh S, Altan T. Metal Forming and Finite Element Method[M]. New York: Oxford University Press, 1989.
［2］Zhao G Q, Wright E, Grandhi R V. Computer aided preform design in forging using the inverse die contact tracking method[J]. Int. J. Mach. Tools Manufact, 1996, 36(7): 755-769.
［3］霍中雪, 高锦张, 贾俐俐. 轴类零件冷锻成形的预成形工步设计及优化[J]. 锻压技术, 2012, 37(4) : 22-29.Huo Zhongxue, Gao Jinzhang, Jia Lili.Preform step design and optimization of cold forming for axial parts[J]. Forging & Stamping Technology, 2012, 37(4) : 22-29.
［4］Badrinarayanan S, Zabaras N. A sensitivity Analysis for the optimal design of metal forming process[J]. Computer Methods in Applied Mechanics and Engineering, 1996, 129(4): 319-348.
［5］赵国群, 王广春, 贾玉玺, 等. 材料塑性成形过程最优化设计-I:有限元灵敏度分析方法[J]. 塑性工程学报, 1999, 6(2) : 1-7. Zhao Guoqun, Wang Guangchun, Jia Yuxi, et al. Optimium design of material forming process-I: finite element sensitivity analysis method[J]. Journal of Plasticity Engineering, 1999, 6(2) : 1-7.
［6］赵国群, 王广春, 赵振铎, 等. 材料塑性成形过程最优化设计-II:灵敏度分析方法在模具设计中的应用[J]. 塑性工程学报, 1999, 6(3): 1-6. Zhao Guoqun, Wang Guangchun, Zhao Zhenduo, et al. Optimium design of material forming process-II: application of sensitivity analysis method in die design[J]. Journal of Plasticity Engineering, 1999, 6(3): 1-6.
［7］Poursina M, Antonio C A C. Preform optimal design in metal forging using genetic algorithms[J]. Engineering Computations, 2004, 21(6): 631-650.
［8］Lee S R, Lee Y K, Park C H, et al. A new method of preform design in hot forging by using electric field theory[J]. International Journal of Mechanical Sciences, 2002, 44(4): 773-792.
［9］王晓娜, 李付国, 肖军, 等. 基于类等势场的粉末高温合金盘件预成形设计及有限元模拟[J]. 机械工程学报, 2009, 45(5): 237-243.Wang Xiaona, Li Fuguo, Xiao Jun, et al. Preform design and finite element simulation of new-type P/M superalloy disk based on equipotential field[J]. Journal of Mechanical Engineering, 2009, 45(5): 237-243.
［10］李云, 易幼平, 王少辉. 基于Pro/ENGINEER 二次开发的筋板类锻件预成形设计[J]. 塑性工程学报, 2010, 17(3): 12-17.Li Yun, Yi Youping, Wang Shaohui. Preform design of rib-web forging based on secondary development of Pro/ENGINEER[J]. Journal of Plasticity Engineering, 2010, 17(3): 12-17.
［11］邵勇, 郭平义. 基于Deform的叶片叶身预锻结构形式优化设计[J]. 锻压技术, 2012, 37(5): 12-17.Shao Yong, Guo Pingyi. Optimal pre-forging design of blade body based on deform software[J]. Forging & Stamping Technology, 2012, 37(5): 12-17.
［12］李超. 材料成形过程中的类等势场模拟法研究[D]. 西安: 西北工业大学, 2005.Li Chao. Study on Similar Equipotential-field Simulation Method in Materials Processing Engineering[D]. Xi'an : Northwestern Polytechnical University, 2005.

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