Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process
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 b...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/7/2608 |
| _version_ | 1797438615249223680 |
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| author | Yanfeng Zhang Lihui Lang Yao Wang Haizhou Chen Jianning Du Zhihui Jiao Lin Wang |
| author_facet | Yanfeng Zhang Lihui Lang Yao Wang Haizhou Chen Jianning Du Zhihui Jiao Lin Wang |
| author_sort | Yanfeng Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T11:40:36Z |
| format | Article |
| id | doaj.art-c88f7da7d5ba430a98c670dad0b0f698 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T11:40:36Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-c88f7da7d5ba430a98c670dad0b0f6982023-11-30T23:34:30ZengMDPI AGMaterials1996-19442022-04-01157260810.3390/ma15072608Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming ProcessYanfeng Zhang0Lihui Lang1Yao Wang2Haizhou Chen3Jianning Du4Zhihui Jiao5Lin Wang6School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, ChinaSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, ChinaSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaTianjin Tianduan Press Co., Ltd., Tianjin 300142, ChinaShenyang Aircraft Industry (Group) Co., Ltd., Shenyang 110850, ChinaSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, ChinaShenyang Aircraft Industry (Group) Co., Ltd., Shenyang 110850, ChinaThe 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.https://www.mdpi.com/1996-1944/15/7/2608spring back behaviorprediction modellarge multi-feature thin-walled parthydroformingrigid-flexible sequential loading forming |
| spellingShingle | Yanfeng Zhang Lihui Lang Yao Wang Haizhou Chen Jianning Du Zhihui Jiao Lin Wang Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process Materials spring back behavior prediction model large multi-feature thin-walled part hydroforming rigid-flexible sequential loading forming |
| title | Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process |
| title_full | Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process |
| title_fullStr | Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process |
| title_full_unstemmed | Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process |
| title_short | Spring Back Behavior of Large Multi-Feature Thin-Walled Part in Rigid-Flexible Sequential Loading Forming Process |
| title_sort | spring back behavior of large multi feature thin walled part in rigid flexible sequential loading forming process |
| topic | spring back behavior prediction model large multi-feature thin-walled part hydroforming rigid-flexible sequential loading forming |
| url | https://www.mdpi.com/1996-1944/15/7/2608 |
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