Failure analysis of SUS304 sheet during hydro-bulging based on GTN ductile damage model
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Stainless steel sheet has a good forming performance due to its perfect strain hardening behavior. In order to predict the hydro-formability of stainless steel sheet SUS304, Gurson-Tvergaard-Needleman (GTN) ductile damage model is used to describe the failure behavior under the condition of complicated stress state. GTN damage parameters were identified by the comparison between simulation and experiments according to the hybrid methods including scanning electron microscope (SEM), Plackett-Burman design (PBD), and response surface methodology (RSM). Then, verification of the obtained damage parameters by experimental researches on die-less hydro-bulging of ellipsoidal shell and sheet hydro-bulging was carried out, and the hydro-formability and failure behavior were mainly discussed. It is shown that the GTN ductile damage model can be applied to evaluate the fracture during hydro-bulging. It is also experimentally proved that the hybrid method containing SEM, PBD, and RSM is a feasible to predict the damage parameters.
KeywordsHydro-bulging GTN damage model PBD RSM
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The authors declare that they have no competing interests.
- 1.Hashmi S (2014) In: Yuan SJ, Liu G (eds) Comprehensive materials processing, volumn 3, chapter 3.04, tube hydro-forming (internal high-pressure forming). Elsevier Ltd, GoldenGoogle Scholar
- 2.Yuan SJ, He ZB, Liu G (2011) New developments of hydro-forming in China. In: Manabe K (ed) Proceedings of the 5th International Conference on Tube hydro-forming, Japan,p 2–13Google Scholar
- 4.Yuan SJ (2009) Modern hydro-forming technology. National Defense Industry Press, PeikingGoogle Scholar
- 10.Cao TS, Maire E, Verdu C, Bobadilla C, Lasne P, Montmitonnet P, Bouchard PO (2014) Characterization of ductile damage for a high carbon steel using 3D X-ray micro-tomography and mechanical tests—application to the identification of a shear modified GTN model. Comp Mater Sci 84(3):175–187CrossRefGoogle Scholar