吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 185-190.doi: 10.13229/j.cnki.jdxbgxb201701028

• 论文 • 上一篇    下一篇

型材多点柔性拉弯成形回弹预测

梁继才1, 李义2, 高嵩3, 滕菲4   

  1. 1.吉林大学 辊锻工艺研究所,长春 130022;
    2.吉林大学 材料科学与工程学院,长春 130022;
    3.长春工业大学 机电工程学院,长春 130012;
    4.长春大学 机械与车辆工程学院,长春 130022
  • 收稿日期:2015-12-22 出版日期:2017-01-20 发布日期:2017-01-20
  • 通讯作者: 李义(1974-),男,教授,博士.研究方向:材料加工.E-mail:henrylee@jlu.edu.cn
  • 作者简介:梁继才(1960-),男,教授,博士.研究方向:材料加工.E-mail:liangjicai@126.com
  • 基金资助:
    国家自然科学基金项目(51675225).

Springback prediction for multi-point 3D stretch bending profile

LIANG Ji-cai1, LI Yi2, GAO Song3, TENG Fei4   

  1. 1.Roll Forging Institute, Jilin University, Changchun 130022,China;
    2.College of Materials Science and Engineering, Jilin University, Changchun 130022, China;
    3.School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012,China;
    4.School of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022,China
  • Received:2015-12-22 Online:2017-01-20 Published:2017-01-20

摘要: 针对铝合金型材多点柔性拉弯的三维成形过程,基于Abaqus/Standard软件建立了多点柔性拉弯成形的有限元仿真模型及混合算法。其中,拉弯成形过程使用动态显式算法,回弹预测使用静态隐式算法,并采用Abaqus/Standard软件的隐式算法对拉弯成形零件的应力、应变及回弹进行了预测。试验结果表明:基于混合算法的有限元模型能够有效地预测回弹误差,且随着垂直方向上弯曲变形的增大,回弹的理论预测值与实际测量值的差距逐步缩小。

关键词: 材料合成与加工工艺, 型材多点拉弯成形, 有限元模型, 回弹预测

Abstract: Based on Abaqus/Standard software, the finite element model and hybrid algorithm for multi-point 3D stretch bending profile of aluminum alloy were established. The dynamic explicit algorithm was used in stretch bending, and the static implicit algorithm was used for spingback prediction. The stress, strain and springback of the part were simulated by implicit method of Abaqus/Standard software. The forming experiment results valid the finite element model and the hybrid algorithm. The springback deviation between theoretically predicted value and the measured value decreases as the bending deformation increases in the vertical direction.

Key words: materials synthesis and processing technology, profile multi point stretch bending, finite element model, springback prediction

中图分类号: 

  • TG356
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