Springback Analysis of AA5754 under Warm Stamping Conditions

Authors

  • Ailing Wang Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK
  • Kai Zhong Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK
  • Omer El Fakir Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK
  • Chaoyang Sun School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China
  • Jun Liu Imperial College London, London SW7 2AZ, UK
  • Li-Liang Wang Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK

DOI:

https://doi.org/10.37256/est.112020104

Keywords:

Springback, Analytical model, Warm forming, L-shape bending, Aluminium alloy AA5754

Abstract

Prediction of springback has been thoroughly investigated for cold forming processes; however with the rising prominence of lightweight materials and new forming technologies, predicting springback at elevated temperatures has become essential. In this paper, three analytical models and one empirical model were proposed to predict springback of an aluminium alloy AA5754 at warm forming conditions. The analytical models developed were based on the effect of the linear bending moment, uniform bending moment and through-thickness stress gradient respectively on springback, while the empirical model was developed using the results of L-shape bending tests. The model predictions were compared with the experiment results for various forming conditions. At room temperature, all four models had very good agreement. At elevated temperatures, the linear bending moment model was preferred for a die radius of 8mm, whereas empirical and stress gradient models were more suitable for a die radius of 4mm; in both cases, very close agreement was achieved where errors were within 5%.

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Published

2019-12-30

How to Cite

[1]
Ailing Wang, Kai Zhong, Omer El Fakir, Chaoyang Sun, J. . Liu, and Li-Liang Wang, “Springback Analysis of AA5754 under Warm Stamping Conditions”, Engineering Science & Technology, vol. 1, no. 1, Dec. 2019.