Design of experiments and springback prediction for AHSS automotive components with complex geometry
Asgari, Alireza, Pereira, Michael, Rolfe, Bernard, Dingle, Matthew and Hodgson, Peter 2005, Design of experiments and springback prediction for AHSS automotive components with complex geometry, in NUMISHEET 2005 : Proceedings of the 6th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes, American Institute of Physics (AIP), Melville, N.Y., pp. 215-220.
NUMISHEET 2005 : Proceedings of the 6th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes
Editor(s)
Smith, L.M. Pourboghrat, F. Yoon, J.W. Stoughton, T.B.
Publication date
2005
Start page
215
End page
220
Publisher
American Institute of Physics (AIP)
Place of publication
Melville, N.Y.
Summary
With the drive towards implementing Advanced High Strength Steels (AHSS) in the automotive industry; stamping engineers need to quickly answer questions about forming these strong materials into elaborate shapes. Commercially available codes have been successfully used to accurately predict formability, thickness and strains in complex parts. However, springback and twisting are still challenging subjects in numerical simulations of AHSS components. Design of Experiments (DOE) has been used in this paper to study the sensitivity of the implicit and explicit numerical results with respect to certain arrays ofuser input parameters in the forming ofan AHSS component. Numerical results were compared to experimental measurements of the parts stamped in an industrial production line. The forming predictions of the implicit and explicit codes were in good agreement with the experimental measurements for the conventional steel grade, while lower accuracies were observed for the springback predictions. The forming predictions of the complex component with an AHSS material were also in good correlation with the respective experimental measurements. However, much lower accuracies were observed in its springback predictions. The number of integration points through the thickness and tool offset were found to be of significant importance, while coefficient of friction and Young's modulus (modeling input parameters) have no significant effect on the accuracy of the predictions for the complex geometry.
Notes
2005, American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. This article appeared in (citation of published article) and may be found at http://link.aip.org/link/?APCPCS/778/215/1.
ISBN
0735402655 9780735402652
Language
eng
Field of Research
091299 Materials Engineering not elsewhere classified
Socio Economic Objective
970109 Expanding Knowledge in Engineering
HERDC Research category
E2 Full written paper - non-refereed / Abstract reviewed
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