This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Optimal Design and Forming Analysis of the Stamping Process for Front Wall of Automobile Considering Springback Compensation Technology
Technical Paper
2021-01-0269
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
SAE WCX Digital Summit
Language:
English
Abstract
In this paper, for the front wall of a certain automobile, the defects of drawing splits, excessive thinning and excessive springback in the sheet metal forming process are analyzed and predicted. The stamping process has been simulated. The influence of different technical parameters (blank holder force, stamping speed, die gap and friction coefficient) on the forming results was further investigated using the center composite experiment. Through preliminary finite element simulation, the main drawing defects and trimming springback were analyzed. The second-order response surface model was established to perform the multi-objective optimization design of the stamping process with a NGSA-II genetic algorithm. Based on the relevant simulation data, multiple springback compensations are performed on the die surface to reduce the final springback of the part to meet the requirements. Results have shown that through multi-objective optimization, the stamping dies development cycle is effectively shortened, and the design cost can be reduced. The use of simulation software can improve the reliability of the planning process and the design level of the die, and greatly reduce the machine downtime during production.
Recommended Content
Authors
Topic
Citation
Zeng, H., Huang, Z., Wang, T., Sun, H. et al., "Optimal Design and Forming Analysis of the Stamping Process for Front Wall of Automobile Considering Springback Compensation Technology," SAE Technical Paper 2021-01-0269, 2021, https://doi.org/10.4271/2021-01-0269.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Table 2 | ||
| Unnamed Dataset 2 |
Also In
References
- Ye , M.B. Manufacturing Process of Die for Automobile Covering Parts Die & Mould Industry 45 09 8 13 2019 10.16787/j.cnki.1001-2168.dmi.2019.09.002
- Wei , R.F. , Sun , W. , Qin , L. , and Tang , G.J. Study on Formation Mechanism of Burr and Cracking for Automobile Sheet Metal Die & Mold Industry 45 11 62 67 2019 10.16787/j.cnki.1001-2168.dmi.2019.11.014
- Reinberg , N. , Mokashi , A. , Nasheralahkami , S. , Golovashchenko , S. et al. Experimental and Analytical Study of Drawbead Restraining Force for Sheet Metal Drawing Operations SAE Technical Paper 2020-01-0753 2020 https://doi.org/10.4271/2020-01-0753
- Sigvant , M. , Pilthammar , J. , Hol , J. , Jan , H.W. et al. Friction in Sheet Metal Forming: Influence of Surface Roughness and Strain Rate on Sheet Metal Forming Simulation Results Procedia Manufacturing 29 512 519 2019 10.1016/j.promfg.2019.02.169
- Chen , X. , Singh , J. , Pednekar , V. , Groseclose , A. et al. Springback Prediction and Correlations for Third Generation High Strength Steel SAE Technical Paper 2020-01-0752 2020 https://doi.org/10.4271/2020-01-0752
- Béres , G. , Weltsch , Z. , Lukács , Z. , and Tisza , M. Prediction of Stress- and Strain-based Forming Limits of Automotive Thin Sheets by Numerical, Theoretical and Experimental Methods AIP Conf Proceedings 2018-1960-16002 2018 10.1063/1.5035028
- Wang , J. and Ma , Z. Study on the Springback Accuracy of Tailor-Welded Front Rail Inner Panel Based on Variable Blank Holder Force SAE Technical Paper 2017-01-5007 2017 https://doi.org/10.4271/2017-01-5007
- Vieira , A. , Silveira , M. , Pockszevnicki , B. , and Vera , E. The Effect of Stamping Data on the Palm Printing Analysis of an Automotive Fender SAE Technical Paper 2011-36-0274 2011 https://doi.org/10.4271/2011-36-0274
- Thomas , D. , Galbraith , C. , Bull , M. , and Finn , M. Prediction of Springback and Final Shape in Stamped Automotive Assemblies: Comparison of Finite Element Predictions and Experiments SAE Technical Paper 2002-01-2063 2002 https://doi.org/10.4271/2002-01-2063
- Heidari , B.S. , Oliaei , E. , Shayesteh , H. et al. Simulation of Mechanical Behavior and Optimization of Simulated Injection Molding Process for PLA based Antibacterial Composite and Nanocomposite Bone Screws Using Central Composite Design Journal of the Mechanical Behavior of Biomedical Materials 65 160 176 2017 10.1016/j.jmbbm.2016.08.008
- Aksoy , D.O. and Sagol , E. Application of Central Composite Design Method to Coal Flotation: Modelling Optimization and Verification Fuel 183 609 616 2016 10.1016/j.fuel.2016.06.111
- Nametala , C.A.L. , Souza , A.M. et al. A Simulator Based on Artificial Neural Networks and NSGA-II for Prediction and Optimization of the Grinding Process of Superalloys with High Performance Grinding Wheels CIRP Journal of Manufacturing Science and Technology 30 157 173 2020 10.1016/j.cirpj.2020.05.004
- Pednekar , V. , Khutorsky , A. , Lad , S. , Babymony , M. et al. Third Generation 980 Class AHSS: A Viable Alternative to Replace Press-Hardenable Steels (PHS) in Automotive Rear Rail Applications SAE Technical Paper 2020-01-0534 2020 https://doi.org/10.4271/2020-01-0534