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基于拓扑优化的高强钢冲压凸模设计方法
英文标题:Design method of high strength steel stamping punch based on topology optimization
作者:谢晖  金意航  王杭燕  张文彦 王东福 吴璐 
单位:湖南大学 上海拖拉机内燃机有限公司 
关键词:高强钢 冲压成形 模具设计 拓扑优化 应力状态 
分类号:TG76
出版年,卷(期):页码:2018,43(6):97-102
摘要:

由于高强钢零件有着更高的屈服、抗拉强度,在冲压生产时需要更大的成形力,因此,在设计模具时会放大安全系数,使结构强度得到提升。针对目前高强钢冲压模具结构设计经验不足,造成模具设计质量增大、成本增加的问题,采用有限元的方法,对高强钢复杂板冲压模具凸模的结构进行了刚强度分析,结合工程经验与拓扑优化技术,将凸模结构进行了优化,使模具整体的刚度提高并且模具质量减轻了10%,实现了轻量化设计。结合冲压成形模拟仿真技术,将凸模关键结构的应力状态与模具结构特点综合考量,提出了新的针对于高强钢冲压模具的设计思路。

Because of the higher yield and tensile strength of high strength steel parts, more forming force is needed in the stamping production, and the safety factor is enlarged in the design of the die to improve the strength of the structure. For the problem of lacking of experience in the structure design of high strength steel stamping die to cause the increasing of design quality of die and cost, the structure strength of high strength steel complex plate stamping die was analyzed by the finite element method, and the structure of punch was optimized by combining with engineering experiences and topology optimization. Therefore, the rigidity of the die was improved and the mass of the die was reduced by 10%, and the lightweight design was realized. Combined with the simulation technology of stamping, the stress state of key structure of the punch and the characteristics of die structure were synthetically considered, and a new design idea for stamping die of high strength steel was put forward.

基金项目:
国家科技支撑项目(2015BAF01B01,2015BAF 32B03);湖南省战略性新兴产业科技攻关类项目(2016GK4008)
作者简介:
谢晖(1971-),男,博士,教授;Email:danielxie@163.com;通讯作者:金意航(1993-),男,硕士研究生;Email:1090626525@qq.com
参考文献:


[1]汤禹成,徐栋恺.高强度钢板复杂零件的冲压压边圈拓扑优化
[D]. 上海:上海交通大学学报,2010.


Tang Y C, Xu D K. Topology Optimization of Blank Holder Structure of Stamping Die for Forming Complicated Automotive Part of HighStrength Sheet Metal
[D]. Shanghai: Journal of Shanghai Jiaotong University,2010.



[2]王明伟, 高莹莹, 吕艳. 高强钢汽车加强板冲压成形数值模拟及试验
[J]. 锻压技术, 2017, 42(2):60-65.


Wang M W, Gao Y Y, Lyu Y. Numerical simulation and test on stamping forming of high strength steel automotive stiffening plate
[J]. Forging & Stamping Technology, 2017, 42 (2): 60-65.



[3]Shulkin L,Jansen S W,Ahmetoglu M A,et al. Elastic deflections of the blank holder in deep drawing of sheet metal
[J]. Journal of Materials Processing Technology. 1996, 59(1): 34-40.



[4]杨旭静,邓超,李洲, 等.载荷映射方法及其在模具结构优化中的应用
[J].湖南大学学报:自然科学版,2011,38(9):27-31.


Yang X J, Deng C, Li Z, et al. Load mapping method and its application in die structure optimization
[J]. Journal of Hunan University: Natural Science, 2011, 38(9): 27-31.



[5]Nilsson A, Birath F. Topology optimization of a stamping die
[J]. American Institute of Physics, 2007,908(1):449-454.



[6]Wang C, Chen J, Xia Z C, et al. Die wear prediction by defining threestage coefficient K for AHSS sheet metal forming process
[J]. International Journal of Advanced Manufacturing Technology, 2013, 69(1-4):797-803.



[7]谢涛,刘静,刘军考. 结构拓扑优化综述
[J].机械工程师,2006,(8): 22-25.


Xie T, Liu J, Liu J K. Review of structure topology optimization
[J].Mechanical Engineer,2006,(8): 22-25.



[8]刘旭红,欧笛声. 基于 SIMP 优化理论的注塑机固定模板拓扑优化
[J].中国塑料,2008,22(2): 90-92.


Liu X H,Ou D S. Topology optimization for the fixed mould platens of injection machine based on SIMP optimization theory
[J]. China Plastics,2008,22(2): 90-92.



[9]左孔天,陈立平,钟毅芳,等.基于人工材料的密度的新型拓扑优化理论和算法研究
[J].机械工程学报,2004,40(12): 31-37.


Zuo K T, Chen L P,Zhong Y F,et al. A new topology optimization theory and algorithm based on the density of artificial materials
[J].Chinese Journal of Mechanical Engineering,2004,40(12): 31-37.



[10]王明强,李志多. 面向制造的连续体结构拓扑优化设计方法研究
[J]. 中国机械工程,2010,21(5): 524-528.


Wang M Q, Li Z D. Research on method of topology optimization design of continuum structures for manufacturing
[J]. China Mechanical Engineering,2010,21(5): 524-528.

 

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