4.6 Article

An efficient closed-form solution for springback prediction and compensation in elastic-plastic creep age forming

Journal

Publisher

SPRINGER LONDON LTD
DOI: 10.1007/s00170-022-10607-3

Keywords

Springback prediction; Springback compensation; Closed-form solution; Creep age forming; Al-Li alloy; Multipoint flexible tool

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In this study, a closed-form solution for predicting springback in creep age forming (CAF) was developed based on the beam theory and Winkler's theory. An efficient compensation method was proposed and validated through finite element simulation and experimental tests. The proposed method, combined with the closed-form solution, successfully achieved the target shape within reasonable iterations for complex flexible tool CAF.
Accurately predicting the amount of springback has always been a prior focus in metal forming industry, particularly for creep age forming (CAF), for its significant effect on tool cost and forming accuracy. In this study, a closed-form solution for CAF springback prediction covering deformation from elastic to plastic loadings was developed by combining the beam theory and Winkler's theory, based on which an efficient springback compensation method for CAF was proposed. This developed solution extends the application area beyond the traditional beam theory-based springback prediction methods, maintaining its validity with large loading deflection in plastic range. Finite element (FE) simulation and four-point bending CAF tests adopting a 3rd generation Al-Li alloy were conducted in both elastic and plastic forming regions and the results showed close agreement with the closed-form springback predictions. For the proposed compensation method, an adjustment factor was introduced for complex flexible tool CAF to consider its deviation from the uniform stress loading and can be obtained using the closed-form solution. The flexible tool CAF tests using the Al-Li alloy demonstrated the applicability of the proposed compensation method to obtain the target shape within reasonable iterations, which can be further reduced by combining FE simulation.

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