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Characterising material and process variation effects on springback robustness for a semi-cylindrical sheet metal forming process
Authors:T. de Souza  B.F. Rolfe
Affiliation:aInstitute for Technology Research and Innovation, Geelong Technology Precinct, Deakin University, Waurn Ponds, Victoria 3217, Australia;bSchool of Engineering, Faculty of Science and Technology, Deakin University, Waurn Ponds, Victoria 3217, Australia
Abstract:Variation in the incoming sheet material and fluctuations in the press setup is unavoidable in many stamping plants. The effect of these variations can have a large influence on the quality of the final stamping, in particular, unpredictable springback of the sheet when the tooling is removed. While stochastic simulation techniques have been developed to simulate this problem, there has been little research that connects the influence of the noise sources to springback. This paper characterises the effect of material and process variation on the robustness of springback for a semi-cylindrical channel forming operation, which shares a similar cross-section profile as many automotive structural components. The study was conducted using the specialised sheet metal forming package AutoForm™ Sigma, for which a series of stochastic simulations were performed with each of the noise sources incrementally introduced. The effective stress and effective strain scatter in a critical location of the part was examined and a response window, which indicates the respective process robustness, was defined. The incremental introduction of the noise sources allows the change in size of the stress–strain response window to be tracked. The results showed that changes to process variation parameters, such as BHP and friction coefficient, directly affect the strain component of the stress–strain response window by altering the magnitude of external work applied to forming system. Material variation, on the other hand, directly affected the stress component of the response window. A relationship between the effective stress–strain response window and the variation in springback was also established.
Keywords:Springback   Sheet metal forming   Stochastic modelling   Robustness
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