A Two-Pronged Approach for the Assessment of Springback Variability for Sheet Metal Forming Applications

Abstract:

Springback assessment for sheet metal forming processes is a challenging issue which requires to take into account complex phenomena (physical non linearities and uncertainties). We highlight that the stochastic analysis of metal forming process requires both a high precision and low cost numerical models and propose a two-pronged methodology to address these challenges. The deep drawing simulation process is performed using an original low cost semi-analytical approach based on a bending under tension model with a good accuracy for small random perturbations of the physical and process parameters. The springback variability analysis is performed using an efficient stochastic metamodel, namely a sparse version of the polynomial chaos expansion.

• Periodical: Key Engineering Materials (Volumes 554-557)
• Pages: 957-965
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.554-557.957
• Online since: June 2013
• Authors: Jérémy Lebon, Guénhaël Le Quilliec, Rajan Filomeno Coelho, Piotr Breitkopf, Pierre Villon
• Keywords: Semi-Analytical Bending under Tension Model, Sparse Polynomial Chaos Expansion, Springback Variability Assessment

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