4.6 Article

Analysis of springback for multiple bending considering nonlinear unloading-reloading behavior, stress inheritance and Bauschinger effect

Journal

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.jmatprotec.2022.117657

Keywords

Springback analysis; Multiple bending; Hardening model; Nonlinear unloading-reloading; Residual stress

Funding

  1. National Natural Science Foundation of China [51 975 509]
  2. Natural Science Foundation -Steel and Iron Foundation of Hebei Province [E2020203141]

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A new analytical model considering stress inheritance, the Bauschinger effect, and nonlinear unloading-reloading behavior was established to accurately predict springback in difficult-to-form metals. Experimental verification showed good agreement between the analytical results and experimental results, with an average relative error within 3% for the 6061 aluminum alloy rectangular section beam. The analytical model established in this study has higher prediction accuracy and faster solution speed compared to existing models.
Multiple bending faces more challenges in accurate springback prediction for difficult-to-form metals such as aluminum alloys and high-strength steels. This is attributed to stress inheritance (the effect of residual stress on subsequent bending), the Bauschinger effect and nonlinear unloading-reloading behavior, which have a more significant effect on the springback of difficult-to-form metals. A new analytical model considering these key factors was established, and the solution method of a series of key equations were given. The Chaboche hardening model and two elastic models (chord modulus and nonlinear elastic model) were used to characterize the constitutive properties. Experiments were performed to verify the analytical model, and the effects of the above three factors on springback were investigated. The results show that the analytical results are in good agreement with the experimental results, and the average relative error of the 6061 aluminum alloy rectangular section beam under two cycles of positive and reverse pure bending is within 3 %. Compared with the existing models, the analytical model established in this study has higher prediction accuracy and faster solution speed.

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