• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2024, Vol. 60 ›› Issue (12): 240-249.doi: 10.3901/JME.2024.12.240

• 材料科学与工程 • 上一篇    下一篇

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基于改进遗传算法的超高强钢硬化模型参数确定及折弯回弹预测

刘承尚1,2,3, 陈锐1,2, 李芳1,2, 王萌1,2, 徐戊矫1,2   

  1. 1. 重庆大学材料科学与工程学院 重庆 400044;
    2. 先进模具智能制造重庆市重点实验室 重庆 400044;
    3. 重庆川仪自动化股份有限公司 重庆 401121
  • 收稿日期:2023-08-11 修回日期:2024-03-08 出版日期:2024-06-20 发布日期:2024-08-23
  • 作者简介:刘承尚,男,1993年出生,博士。主要研究方向为超强钢板本构模型、金属塑性成形仿真。E-mail:liucs_cqu@163.com;徐戊矫(通信作者),女,1975年出生,博士,教授,博士研究生导师。主要研究方向为金属塑性成形与控制。E-mail:xuwujiao_cq@163.com
  • 基金资助:
    国家自然科学基金资助项目(51975072)。

Parameters Determination of Hardening Model for Ultra-high Strength Steel Based on Modified Genetic Algorithm and Bending Spring Back Prediction

LIU Chengshang1,2,3, CHEN Rui1,2, LI Fang1,2, WANG Meng1,2, XU Wujiao1,2   

  1. 1. College of Material Science and Engineering, Chongqing University, Chongqing 400044;
    2. Chongqing Key Laboratory of Advanced Mold Intelligent Manufacturing, Chongqing 400044;
    3. Chongqing Chuanyi Automation Co., Ltd., Chongqing 401121
  • Received:2023-08-11 Revised:2024-03-08 Online:2024-06-20 Published:2024-08-23

摘要: 针对目前特殊用途车辆用超高强度钢板在折弯成形工艺中存在的回弹剧烈问题,提出一种基于改进遗传算法的超高强钢硬化模型参数确定方法,实现超高强度钢板折弯回弹的准确预测。以超高强钢板6252为研究对象,首先构建一个考虑超高强钢材料应变硬化行为和Bauschinger效应的Yoshida-Uemori硬化模型框架;然后结合有限元仿真软件LS-DYNA和改进遗传算法准确地确定硬化模型框架中的材料特性参数;最后基于DYNAFORM平台对6252超高强钢工件进行了折弯回弹的预测。实际的折弯试验表明,回弹模拟结果与实际回弹角度之间的误差在2%以内,验证所标定的超高强钢硬化模型参数的可靠性,说明在该参数集支持下的Yoshida-Uemori硬化模型能够较好地描述超高强钢板的动态特性。所提出的方法为超高强度钢零部件的高精度成形工艺设计提供有效指导。

关键词: 改进遗传算法, 超高强钢, 硬化模型, 折弯成形, 回弹预测

Abstract: For the severe spring back problem of ultra-high strength steel (UHSS) used in special purpose vehicles during the bending process, a method for determining the parameters of the hardening model of the UHSS based on an improved genetic algorithm is proposed and accurate prediction of the bending spring-back of the UHSS is achieved. Taking the UHSS 6252 as the example, a Yoshida-Uemori hardening model framework considering the strain-hardening behavior and Bauschinger effect of the UHSS is constructed. Then, the material properties of the hardening model framework are accurately determined by combining the modified genetic algorithm and the finite element simulation software LS-DYNA. Finally, the spring back in bending process is predicted for the UHSS 6252 based on the DYNAFORM platform. The actual bending test shows that the error of the spring-back angle between the simulation and experiment is within 2%, which verifies the reliability of the calibrated hardening model parameters for the UHSS and demonstrates that the Yoshida-Uemori hardening model supported by this parameter set can well describe the dynamic characteristics of the UHSS. The proposed method provides effective guidance for the design of high-precision forming processes for ultra-high-strength steel components.

Key words: modified genetic algorithm, ultra-high strength steel, hardening model, bending, spring back prediction

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