Suppr超能文献

刚柔顺序加载成形过程中大型多特征薄壁零件的回弹行为

Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process.

作者信息

Zhang Yanfeng, Lang Lihui, Wang Yao, Chen Haizhou, Du Jianning, Jiao Zhihui, Wang Lin

机构信息

School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.

Tianjin Tianduan Press Co., Ltd., Tianjin 300142, China.

出版信息

Materials (Basel). 2022 Apr 1;15(7):2608. doi: 10.3390/ma15072608.

Abstract

The spring back behavior of large complex multi-feature parts in the rigid-flexible sequential forming process has certain special characteristics. The hydraulic pressure loading locus has a significant influence on the spring back of small features of the part, and the applicability of the spring back prediction model to the process needs further research. Therefore, this paper takes the large aluminum alloy inner panel of an automobile as the research object, and the spring back model and the influence laws of the hydraulic pressure loading locus are revealed by combining the theoretical analysis and numerical simulation with the process tests. Meanwhile, based on the theoretical prediction and experimental results, the spring back compensation of the complex inner panel is carried out. Results show that the hardening model has a greater impact on the accuracy of spring back prediction than the yield criterion does, and the prediction accuracy of Barlat'89 + Yoshida-Uemori mixed hardening model is the highest. Finally, the optimized loading locus of hydraulic pressure is obtained, and the accuracy results of the compensated parts verify the accuracy of the analysis model.

摘要

大型复杂多特征零件在刚柔顺序成形过程中的回弹行为具有一定的特殊性。液压加载轨迹对零件小特征的回弹有显著影响,回弹预测模型对该工艺的适用性有待进一步研究。因此,本文以汽车大型铝合金内板为研究对象,通过理论分析、数值模拟与工艺试验相结合的方法,揭示了回弹模型及液压加载轨迹的影响规律。同时,基于理论预测和试验结果,对复杂内板进行了回弹补偿。结果表明,硬化模型对回弹预测精度的影响比屈服准则更大,Barlat'89 + Yoshida-Uemori混合硬化模型的预测精度最高。最后,得到了优化的液压加载轨迹,补偿零件的精度结果验证了分析模型的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/078c/9000712/17730acc4759/materials-15-02608-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验